{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 单品种单策略_MA_DoubleCross"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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EiRMYGRlRvXp1Ll68CEB0dDSRkZG5Xr9F0ZDXupCSksKpU6eA9K4gRkb/3qqu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\n33CT1zHiT1/KvqJCTFFRmMLCaS1wzWXeagiio7IeR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odTYV9ZMxnxwRjHwMxKg2V3ONl1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\nLYQ4hmyq8mI3K3rMfxsKBqJOPb+9QxLtYGJ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k8uIsjJz1KsbnH6L96i5Uz/yDvEJ0FVK0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\nhBBCCCE6pP8HX04if51A2xYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21646940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.SHORTPERIOD = 10\n",
    "    context.LONGPERIOD = 30\n",
    "\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "\n",
    "    prices = history_bars(context.s1, context.LONGPERIOD+1, '1d', 'close')\n",
    "\n",
    "    short_avg = talib.SMA(prices, context.SHORTPERIOD)\n",
    "    long_avg = talib.SMA(prices, context.LONGPERIOD)\n",
    "\n",
    "    plot(\"short avg\", short_avg[-1])\n",
    "    plot(\"long avg\", long_avg[-1])\n",
    "\n",
    "    # 计算现在portfolio中股票的仓位\n",
    "    cur_position = context.portfolio.positions[context.s1].quantity\n",
    "    # 计算现在portfolio中的现金可以购买多少股票\n",
    "    shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "\n",
    "    # 如果短均线从上往下跌破长均线，也就是在目前的bar短线平均值低于长线平均值，而上一个bar的短线平均值高于长线平均值\n",
    "    if short_avg[-1] - long_avg[-1] < 0 and short_avg[-2] - long_avg[-2] > 0 and cur_position > 0:\n",
    "        # 进行清仓\n",
    "        order_target_value(context.s1, 0)\n",
    "\n",
    "    # 如果短均线从下往上突破长均线，为入场信号\n",
    "    if short_avg[-1] - long_avg[-1] > 0 and short_avg[-2] - long_avg[-2] < 0:\n",
    "        # 满仓入股\n",
    "        order_shares(context.s1, shares)\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 等仓位多品种单策略"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fSvPmzZXGjRsrHTp0UB49eqRLl/bYFa+HnLaHrK7XipL5mq0o+q/DonDLaVsI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\neXl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      "text/plain": [
       "<matplotlib.figure.Figure at 0x222c07b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':               cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                   \n",
       "  2005-01-04  738.21      99261.79                  1.000    100000.00   \n",
       "  2005-01-05  738.21     100248.56                  1.000    100986.77   \n",
       "  2005-01-06  738.21      99300.17                  1.010    100038.38   \n",
       "  2005-01-07  738.21      99379.96                  1.000    100118.17   \n",
       "  2005-01-10  738.21     100381.88                  1.001    101120.09   \n",
       "  2005-01-11  738.21     100711.14                  1.011    101449.35   \n",
       "  2005-01-12  738.21     100671.75                  1.014    101409.96   \n",
       "  2005-01-13  738.21     100684.88                  1.014    101423.09   \n",
       "  2005-01-14  738.21      99819.31                  1.014    100557.52   \n",
       "  2005-01-17  738.21      97712.45                  1.006     98450.66   \n",
       "  2005-01-18  738.21      98443.69                  0.985     99181.90   \n",
       "  2005-01-19  738.21      97688.21                  0.992     98426.42   \n",
       "  2005-01-20  738.21      96581.25                  0.984     97319.46   \n",
       "  2005-01-21  738.21      99242.60                  0.973     99980.81   \n",
       "  2005-01-24  738.21     100811.13                  1.000    101549.34   \n",
       "  2005-01-25  738.21     100775.78                  1.015    101513.99   \n",
       "  2005-01-26  738.21      99982.93                  1.015    100721.14   \n",
       "  2005-01-27  738.21      98437.63                  1.007     99175.84   \n",
       "  2005-01-28  738.21      97890.21                  0.992     98628.42   \n",
       "  2005-01-31  738.21      96442.88                  0.986     97181.09   \n",
       "  2005-02-01  738.21      96550.95                  0.972     97289.16   \n",
       "  2005-02-02  738.21     101697.91                  0.973    102436.12   \n",
       "  2005-02-03  738.21     100315.22                  1.024    101053.43   \n",
       "  2005-02-04  738.21     102702.86                  1.011    103441.07   \n",
       "  2005-02-16  738.21     103381.58                  1.034    104119.79   \n",
       "  2005-02-17  738.21     103081.61                  1.041    103819.82   \n",
       "  2005-02-18  738.21     101612.06                  1.038    102350.27   \n",
       "  2005-02-21  738.21     103588.63                  1.024    104326.84   \n",
       "  2005-02-22  738.21     105720.74                  1.043    106458.95   \n",
       "  2005-02-23  738.21     105437.94                  1.065    106176.15   \n",
       "  ...            ...           ...                    ...          ...   \n",
       "  2016-10-21  738.21     336101.74                  3.359    336839.95   \n",
       "  2016-10-24  738.21     340125.58                  3.368    340863.79   \n",
       "  2016-10-25  738.21     340112.45                  3.409    340850.66   \n",
       "  2016-10-26  738.21     338834.80                  3.409    339573.01   \n",
       "  2016-10-27  738.21     337915.70                  3.396    338653.91   \n",
       "  2016-10-28  738.21     337353.13                  3.387    338091.34   \n",
       "  2016-10-31  738.21     336964.28                  3.381    337702.49   \n",
       "  2016-11-01  738.21     339264.05                  3.377    340002.26   \n",
       "  2016-11-02  738.21     336668.35                  3.400    337406.56   \n",
       "  2016-11-03  738.21     339873.08                  3.374    340611.29   \n",
       "  2016-11-04  738.21     338771.17                  3.406    339509.38   \n",
       "  2016-11-07  738.21     339015.59                  3.395    339753.80   \n",
       "  2016-11-08  738.21     340483.12                  3.398    341221.33   \n",
       "  2016-11-09  738.21     338658.05                  3.412    339396.26   \n",
       "  2016-11-10  738.21     342451.61                  3.394    343189.82   \n",
       "  2016-11-11  738.21     345139.22                  3.432    345877.43   \n",
       "  2016-11-14  738.21     346455.25                  3.459    347193.46   \n",
       "  2016-11-15  738.21     346416.87                  3.472    347155.08   \n",
       "  2016-11-16  738.21     346388.59                  3.472    347126.80   \n",
       "  2016-11-17  738.21     347090.54                  3.471    347828.75   \n",
       "  2016-11-18  738.21     345163.46                  3.478    345901.67   \n",
       "  2016-11-21  738.21     347552.11                  3.459    348290.32   \n",
       "  2016-11-22  738.21     350304.36                  3.483    351042.57   \n",
       "  2016-11-23  738.21     350947.73                  3.510    351685.94   \n",
       "  2016-11-24  738.21     352362.74                  3.517    353100.95   \n",
       "  2016-11-25  738.21     355651.30                  3.531    356389.51   \n",
       "  2016-11-28  738.21     357043.08                  3.564    357781.29   \n",
       "  2016-11-29  738.21     359968.04                  3.578    360706.25   \n",
       "  2016-11-30  738.21     357338.00                  3.607    358076.21   \n",
       "  2016-12-01  738.21     360069.04                  3.581    360807.25   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.009868  100000  \n",
       "  2005-01-06        1.000384  100000  \n",
       "  2005-01-07        1.001182  100000  \n",
       "  2005-01-10        1.011201  100000  \n",
       "  2005-01-11        1.014494  100000  \n",
       "  2005-01-12        1.014100  100000  \n",
       "  2005-01-13        1.014231  100000  \n",
       "  2005-01-14        1.005575  100000  \n",
       "  2005-01-17        0.984507  100000  \n",
       "  2005-01-18        0.991819  100000  \n",
       "  2005-01-19        0.984264  100000  \n",
       "  2005-01-20        0.973195  100000  \n",
       "  2005-01-21        0.999808  100000  \n",
       "  2005-01-24        1.015493  100000  \n",
       "  2005-01-25        1.015140  100000  \n",
       "  2005-01-26        1.007211  100000  \n",
       "  2005-01-27        0.991758  100000  \n",
       "  2005-01-28        0.986284  100000  \n",
       "  2005-01-31        0.971811  100000  \n",
       "  2005-02-01        0.972892  100000  \n",
       "  2005-02-02        1.024361  100000  \n",
       "  2005-02-03        1.010534  100000  \n",
       "  2005-02-04        1.034411  100000  \n",
       "  2005-02-16        1.041198  100000  \n",
       "  2005-02-17        1.038198  100000  \n",
       "  2005-02-18        1.023503  100000  \n",
       "  2005-02-21        1.043268  100000  \n",
       "  2005-02-22        1.064590  100000  \n",
       "  2005-02-23        1.061762  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        3.368400  100000  \n",
       "  2016-10-24        3.408638  100000  \n",
       "  2016-10-25        3.408507  100000  \n",
       "  2016-10-26        3.395730  100000  \n",
       "  2016-10-27        3.386539  100000  \n",
       "  2016-10-28        3.380913  100000  \n",
       "  2016-10-31        3.377025  100000  \n",
       "  2016-11-01        3.400023  100000  \n",
       "  2016-11-02        3.374066  100000  \n",
       "  2016-11-03        3.406113  100000  \n",
       "  2016-11-04        3.395094  100000  \n",
       "  2016-11-07        3.397538  100000  \n",
       "  2016-11-08        3.412213  100000  \n",
       "  2016-11-09        3.393963  100000  \n",
       "  2016-11-10        3.431898  100000  \n",
       "  2016-11-11        3.458774  100000  \n",
       "  2016-11-14        3.471935  100000  \n",
       "  2016-11-15        3.471551  100000  \n",
       "  2016-11-16        3.471268  100000  \n",
       "  2016-11-17        3.478287  100000  \n",
       "  2016-11-18        3.459017  100000  \n",
       "  2016-11-21        3.482903  100000  \n",
       "  2016-11-22        3.510426  100000  \n",
       "  2016-11-23        3.516859  100000  \n",
       "  2016-11-24        3.531010  100000  \n",
       "  2016-11-25        3.563895  100000  \n",
       "  2016-11-28        3.577813  100000  \n",
       "  2016-11-29        3.607063  100000  \n",
       "  2016-11-30        3.580762  100000  \n",
       "  2016-12-01        3.608073  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'portfolio':                   cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                       \n",
       "  2005-01-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-05  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-06  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-10  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-11  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-12  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-13  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-14  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-19  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-20  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-24  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-25  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-26  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-27  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-28  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-31  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-03  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-16  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-22  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-23  100000.000           0.0                  1.000   100000.000   \n",
       "  ...                ...           ...                    ...          ...   \n",
       "  2016-10-21  396352.216      224048.0                  6.179   620400.216   \n",
       "  2016-10-24  396352.216      222794.0                  6.204   619146.216   \n",
       "  2016-10-25  396352.216      220286.0                  6.191   616638.216   \n",
       "  2016-10-26  396352.216      223212.0                  6.166   619564.216   \n",
       "  2016-10-27  396352.216      216524.0                  6.196   612876.216   \n",
       "  2016-10-28  192615.357      418008.0                  6.129   610623.357   \n",
       "  2016-10-31  192615.357      417564.0                  6.106   610179.357   \n",
       "  2016-11-01  192615.357      419850.0                  6.102   612465.357   \n",
       "  2016-11-02  192615.357      414116.0                  6.125   606731.357   \n",
       "  2016-11-03  192615.357      422972.0                  6.067   615587.357   \n",
       "  2016-11-04  192615.357      427962.0                  6.156   620577.357   \n",
       "  2016-11-07  192615.357      427766.0                  6.206   620381.357   \n",
       "  2016-11-08  192615.357      425088.0                  6.204   617703.357   \n",
       "  2016-11-09  192615.357      417878.0                  6.177   610493.357   \n",
       "  2016-11-10  192615.357      421104.0                  6.105   613719.357   \n",
       "  2016-11-11  192615.357      425336.0                  6.137   617951.357   \n",
       "  2016-11-14  192615.357      436674.0                  6.180   629289.357   \n",
       "  2016-11-15  192615.357      431462.0                  6.293   624077.357   \n",
       "  2016-11-16  192615.357      443584.0                  6.241   636199.357   \n",
       "  2016-11-17     389.699      646080.0                  6.362   646469.699   \n",
       "  2016-11-18     389.699      643530.0                  6.465   643919.699   \n",
       "  2016-11-21     389.699      647406.0                  6.439   647795.699   \n",
       "  2016-11-22     389.699      652478.0                  6.478   652867.699   \n",
       "  2016-11-23     389.699      651934.0                  6.529   652323.699   \n",
       "  2016-11-24     389.699      652154.0                  6.523   652543.699   \n",
       "  2016-11-25     389.699      662732.0                  6.525   663121.699   \n",
       "  2016-11-28     389.699      664366.0                  6.631   664755.699   \n",
       "  2016-11-29     389.699      669384.0                  6.648   669773.699   \n",
       "  2016-11-30     389.699      687028.0                  6.698   687417.699   \n",
       "  2016-12-01     389.699      715508.0                  6.874   715897.699   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.000000  100000  \n",
       "  2005-01-06        1.000000  100000  \n",
       "  2005-01-07        1.000000  100000  \n",
       "  2005-01-10        1.000000  100000  \n",
       "  2005-01-11        1.000000  100000  \n",
       "  2005-01-12        1.000000  100000  \n",
       "  2005-01-13        1.000000  100000  \n",
       "  2005-01-14        1.000000  100000  \n",
       "  2005-01-17        1.000000  100000  \n",
       "  2005-01-18        1.000000  100000  \n",
       "  2005-01-19        1.000000  100000  \n",
       "  2005-01-20        1.000000  100000  \n",
       "  2005-01-21        1.000000  100000  \n",
       "  2005-01-24        1.000000  100000  \n",
       "  2005-01-25        1.000000  100000  \n",
       "  2005-01-26        1.000000  100000  \n",
       "  2005-01-27        1.000000  100000  \n",
       "  2005-01-28        1.000000  100000  \n",
       "  2005-01-31        1.000000  100000  \n",
       "  2005-02-01        1.000000  100000  \n",
       "  2005-02-02        1.000000  100000  \n",
       "  2005-02-03        1.000000  100000  \n",
       "  2005-02-04        1.000000  100000  \n",
       "  2005-02-16        1.000000  100000  \n",
       "  2005-02-17        1.000000  100000  \n",
       "  2005-02-18        1.000000  100000  \n",
       "  2005-02-21        1.000000  100000  \n",
       "  2005-02-22        1.000000  100000  \n",
       "  2005-02-23        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        6.204002  100000  \n",
       "  2016-10-24        6.191462  100000  \n",
       "  2016-10-25        6.166382  100000  \n",
       "  2016-10-26        6.195642  100000  \n",
       "  2016-10-27        6.128762  100000  \n",
       "  2016-10-28        6.106234  100000  \n",
       "  2016-10-31        6.101794  100000  \n",
       "  2016-11-01        6.124654  100000  \n",
       "  2016-11-02        6.067314  100000  \n",
       "  2016-11-03        6.155874  100000  \n",
       "  2016-11-04        6.205774  100000  \n",
       "  2016-11-07        6.203814  100000  \n",
       "  2016-11-08        6.177034  100000  \n",
       "  2016-11-09        6.104934  100000  \n",
       "  2016-11-10        6.137194  100000  \n",
       "  2016-11-11        6.179514  100000  \n",
       "  2016-11-14        6.292894  100000  \n",
       "  2016-11-15        6.240774  100000  \n",
       "  2016-11-16        6.361994  100000  \n",
       "  2016-11-17        6.464697  100000  \n",
       "  2016-11-18        6.439197  100000  \n",
       "  2016-11-21        6.477957  100000  \n",
       "  2016-11-22        6.528677  100000  \n",
       "  2016-11-23        6.523237  100000  \n",
       "  2016-11-24        6.525437  100000  \n",
       "  2016-11-25        6.631217  100000  \n",
       "  2016-11-28        6.647557  100000  \n",
       "  2016-11-29        6.697737  100000  \n",
       "  2016-11-30        6.874177  100000  \n",
       "  2016-12-01        7.158977  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'stock_account':                   cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                     \n",
       "  2005-01-04  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-05  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-06  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-07  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-10  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-11  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-12  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-13  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-14  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-17  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-18  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-19  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-20  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-21  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-24  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-25  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-26  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-27  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-28  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-31  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-01  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-02  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-03  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-04  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-16  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-17  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-18  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-21  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-22  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-23  100000.000                  0.0           0.0   100000.000   \n",
       "  ...                ...                  ...           ...          ...   \n",
       "  2016-10-21  396352.216                  0.0      224048.0   620400.216   \n",
       "  2016-10-24  396352.216                  0.0      222794.0   619146.216   \n",
       "  2016-10-25  396352.216                  0.0      220286.0   616638.216   \n",
       "  2016-10-26  396352.216                  0.0      223212.0   619564.216   \n",
       "  2016-10-27  396352.216                  0.0      216524.0   612876.216   \n",
       "  2016-10-28  192615.357                  0.0      418008.0   610623.357   \n",
       "  2016-10-31  192615.357                  0.0      417564.0   610179.357   \n",
       "  2016-11-01  192615.357                  0.0      419850.0   612465.357   \n",
       "  2016-11-02  192615.357                  0.0      414116.0   606731.357   \n",
       "  2016-11-03  192615.357                  0.0      422972.0   615587.357   \n",
       "  2016-11-04  192615.357                  0.0      427962.0   620577.357   \n",
       "  2016-11-07  192615.357                  0.0      427766.0   620381.357   \n",
       "  2016-11-08  192615.357                  0.0      425088.0   617703.357   \n",
       "  2016-11-09  192615.357                  0.0      417878.0   610493.357   \n",
       "  2016-11-10  192615.357                  0.0      421104.0   613719.357   \n",
       "  2016-11-11  192615.357                  0.0      425336.0   617951.357   \n",
       "  2016-11-14  192615.357                  0.0      436674.0   629289.357   \n",
       "  2016-11-15  192615.357                  0.0      431462.0   624077.357   \n",
       "  2016-11-16  192615.357                  0.0      443584.0   636199.357   \n",
       "  2016-11-17     389.699                  0.0      646080.0   646469.699   \n",
       "  2016-11-18     389.699                  0.0      643530.0   643919.699   \n",
       "  2016-11-21     389.699                  0.0      647406.0   647795.699   \n",
       "  2016-11-22     389.699                  0.0      652478.0   652867.699   \n",
       "  2016-11-23     389.699                  0.0      651934.0   652323.699   \n",
       "  2016-11-24     389.699                  0.0      652154.0   652543.699   \n",
       "  2016-11-25     389.699                  0.0      662732.0   663121.699   \n",
       "  2016-11-28     389.699                  0.0      664366.0   664755.699   \n",
       "  2016-11-29     389.699                  0.0      669384.0   669773.699   \n",
       "  2016-11-30     389.699                  0.0      687028.0   687417.699   \n",
       "  2016-12-01     389.699                  0.0      715508.0   715897.699   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2005-01-04             0.000  \n",
       "  2005-01-05             0.000  \n",
       "  2005-01-06             0.000  \n",
       "  2005-01-07             0.000  \n",
       "  2005-01-10             0.000  \n",
       "  2005-01-11             0.000  \n",
       "  2005-01-12             0.000  \n",
       "  2005-01-13             0.000  \n",
       "  2005-01-14             0.000  \n",
       "  2005-01-17             0.000  \n",
       "  2005-01-18             0.000  \n",
       "  2005-01-19             0.000  \n",
       "  2005-01-20             0.000  \n",
       "  2005-01-21             0.000  \n",
       "  2005-01-24             0.000  \n",
       "  2005-01-25             0.000  \n",
       "  2005-01-26             0.000  \n",
       "  2005-01-27             0.000  \n",
       "  2005-01-28             0.000  \n",
       "  2005-01-31             0.000  \n",
       "  2005-02-01             0.000  \n",
       "  2005-02-02             0.000  \n",
       "  2005-02-03             0.000  \n",
       "  2005-02-04             0.000  \n",
       "  2005-02-16             0.000  \n",
       "  2005-02-17             0.000  \n",
       "  2005-02-18             0.000  \n",
       "  2005-02-21             0.000  \n",
       "  2005-02-22             0.000  \n",
       "  2005-02-23             0.000  \n",
       "  ...                      ...  \n",
       "  2016-10-21             0.000  \n",
       "  2016-10-24             0.000  \n",
       "  2016-10-25             0.000  \n",
       "  2016-10-26             0.000  \n",
       "  2016-10-27             0.000  \n",
       "  2016-10-28           162.859  \n",
       "  2016-10-31             0.000  \n",
       "  2016-11-01             0.000  \n",
       "  2016-11-02             0.000  \n",
       "  2016-11-03             0.000  \n",
       "  2016-11-04             0.000  \n",
       "  2016-11-07             0.000  \n",
       "  2016-11-08             0.000  \n",
       "  2016-11-09             0.000  \n",
       "  2016-11-10             0.000  \n",
       "  2016-11-11             0.000  \n",
       "  2016-11-14             0.000  \n",
       "  2016-11-15             0.000  \n",
       "  2016-11-16             0.000  \n",
       "  2016-11-17           153.658  \n",
       "  2016-11-18             0.000  \n",
       "  2016-11-21             0.000  \n",
       "  2016-11-22             0.000  \n",
       "  2016-11-23             0.000  \n",
       "  2016-11-24             0.000  \n",
       "  2016-11-25             0.000  \n",
       "  2016-11-28             0.000  \n",
       "  2016-11-29             0.000  \n",
       "  2016-11-30             0.000  \n",
       "  2016-12-01             0.000  \n",
       "  \n",
       "  [2894 rows x 5 columns],\n",
       "  'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2005-04-05       8.79        8.79       32523.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-06       8.79        8.99       33263.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-07       8.79        9.15       33855.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-08       8.79        9.25       34225.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-11       8.79        9.14       33818.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-12       8.79        9.01       33337.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-13       6.88        6.88       33712.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-13       8.79        9.12       33744.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-14       6.88        6.60       32340.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-14       8.79        8.96       33152.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-15       6.88        6.63       32487.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-15       8.79        8.91       32967.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-18       6.88        6.43       31507.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-18       8.79        8.92       33004.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-19       6.88        6.75       33075.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-19       8.79        9.06       33522.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-20       6.88        6.63       32487.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-20       8.79        8.94       33078.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-21       6.88        6.63       32487.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-21       8.79        8.99       33263.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-22       6.88        5.98       29302.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-22       8.79        9.12       33744.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-25       6.88        5.79       28371.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-25       8.79        9.17       33929.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-26       6.88        6.05       29645.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-26       8.79        9.05       33485.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-27       6.88        5.72       28028.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-27       8.79        9.11       33707.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-28       6.88        5.88       28812.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-28       8.79        9.21       34077.0   600036.XSHG    3700.0   招商银行\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2016-11-18       9.17        9.18      203796.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-18       4.73        5.93      247874.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-18      18.12       18.10      191860.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-11-21       9.17        9.24      205128.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-21       4.73        5.93      247874.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-21      18.12       18.34      194404.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-11-22       9.17        9.36      207792.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-22       4.73        5.98      249964.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-22      18.12       18.37      194722.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-11-23       9.17        9.45      209790.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-23       4.73        5.80      242440.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-23      18.12       18.84      199704.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-11-24       9.17        9.47      210234.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-24       4.73        5.82      243276.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-24      18.12       18.74      198644.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-11-25       9.17        9.62      213564.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-25       4.73        5.93      247874.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-25      18.12       18.99      201294.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-11-28       9.17        9.63      213786.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-28       4.73        6.05      252890.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-28      18.12       18.65      197690.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-11-29       9.17        9.62      213564.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-29       4.73        6.15      257070.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-29      18.12       18.75      198750.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-11-30       9.17        9.55      212010.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-11-30       4.73        6.66      278388.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-11-30      18.12       18.55      196630.0   600036.XSHG   10600.0   招商银行\n",
       "  2016-12-01       9.17        9.60      213120.0   000001.XSHE   22200.0   平安银行\n",
       "  2016-12-01       4.73        7.33      306394.0   600050.XSHG   41800.0   中国联通\n",
       "  2016-12-01      18.12       18.49      195994.0   600036.XSHG   10600.0   招商银行\n",
       "  \n",
       "  [4768 rows x 6 columns],\n",
       "  'summary': {'alpha': 0.094,\n",
       "   'annualized_returns': 0.18,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.114,\n",
       "   'benchmark_total_returns': 2.608,\n",
       "   'beta': 0.461,\n",
       "   'cash': 389.699,\n",
       "   'downside_risk': 0.16,\n",
       "   'end_date': '2016-12-01',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': 0.174,\n",
       "   'max_drawdown': 0.494,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.619,\n",
       "   'sortino': 0.869,\n",
       "   'start_date': '2005-01-04',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 6.159,\n",
       "   'total_value': 715897.699,\n",
       "   'tracking_error': 0.238,\n",
       "   'unit_net_value': 7.159,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.224},\n",
       "  'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2005-04-05 15:00:00   26.018400  1496214189        8.79       3700.000   \n",
       "  2005-04-13 15:00:00   26.969600  1496214190        6.88       4900.000   \n",
       "  2005-05-16 15:00:00   23.128000  1496214191        5.90       4900.000   \n",
       "  2005-05-19 15:00:00   26.048000  1496214192        8.80       3700.000   \n",
       "  2005-06-10 15:00:00   25.267200  1496214193        6.58       4800.000   \n",
       "  2005-06-13 15:00:00   25.204800  1496214194        2.67      11800.000   \n",
       "  2005-06-17 15:00:00   24.920000  1496214195        8.90       3500.000   \n",
       "  2005-07-05 15:00:00   22.118400  1496214196        5.76       4800.000   \n",
       "  2005-07-13 15:00:00   24.732800  1496214197        2.62      11800.000   \n",
       "  2005-07-20 15:00:00   24.840000  1496214198        2.70      11500.000   \n",
       "  2005-08-02 15:00:00   23.116800  1496214199        6.02       4800.000   \n",
       "  2005-08-25 15:00:00   25.300000  1496214200        2.75      11500.000   \n",
       "  2005-08-29 15:00:00   23.347200  1496214201        6.08       4800.000   \n",
       "  2005-08-31 15:00:00   28.350000  1496214202        6.75       5250.000   \n",
       "  2005-09-02 15:00:00   25.540800  1496214203        6.26       5100.000   \n",
       "  2005-09-08 15:00:00   25.281600  1496214204        6.87       4600.000   \n",
       "  2005-09-21 15:00:00   23.809600  1496214205        6.47       4600.000   \n",
       "  2005-09-26 15:00:00   24.235200  1496214206        5.94       5100.000   \n",
       "  2005-11-04 15:00:00   24.561600  1496214207        2.58      11900.000   \n",
       "  2005-11-29 15:00:00   24.192000  1496214208        6.30       4800.000   \n",
       "  2005-12-02 15:00:00   24.719200  1496214209        5.83       5300.000   \n",
       "  2006-02-06 15:00:00   26.846400  1496214210        2.82      11900.000   \n",
       "  2006-02-20 15:00:00   26.669600  1496214211        6.29       5300.000   \n",
       "  2006-02-21 15:00:00   27.703200  1496214212        6.79       5100.000   \n",
       "  2006-03-13 15:00:00   26.186455  1496214213        6.28       5212.272   \n",
       "  2006-03-14 15:00:00   25.296000  1496214214        6.20       5100.000   \n",
       "  2006-03-15 15:00:00   25.612800  1496214215        2.76      11600.000   \n",
       "  2006-03-30 15:00:00   25.056000  1496214216        2.70      11600.000   \n",
       "  2006-04-04 15:00:00   25.428800  1496214217        6.91       4600.000   \n",
       "  2006-04-07 15:00:00   24.844800  1496214218        6.47       4800.000   \n",
       "  ...                         ...         ...         ...            ...   \n",
       "  2015-06-26 15:00:00  146.160000  1496214449       17.40      10500.000   \n",
       "  2015-07-16 15:00:00  151.008000  1496214450       18.15      10400.000   \n",
       "  2015-07-21 15:00:00  150.425600  1496214451       18.08      10400.000   \n",
       "  2015-07-22 15:00:00  151.368000  1496214452       17.85      10600.000   \n",
       "  2015-07-23 15:00:00  152.131200  1496214453       17.94      10600.000   \n",
       "  2015-09-17 15:00:00  150.313600  1496214454       17.56      10700.000   \n",
       "  2015-10-15 15:00:00  153.372800  1496214455        6.68      28700.000   \n",
       "  2015-10-19 15:00:00  150.433600  1496214456       11.26      16700.000   \n",
       "  2015-11-24 15:00:00  153.052800  1496214457       17.88      10700.000   \n",
       "  2015-11-24 15:00:00  152.684000  1496214458        6.65      28700.000   \n",
       "  2015-12-08 15:00:00  159.785600  1496214459       11.96      16700.000   \n",
       "  2015-12-25 15:00:00  154.876800  1496214460       12.41      15600.000   \n",
       "  2015-12-25 15:00:00  153.972000  1496214461       18.33      10500.000   \n",
       "  2016-01-05 15:00:00  142.272000  1496214462       11.40      15600.000   \n",
       "  2016-01-11 15:00:00  134.736000  1496214463       16.04      10500.000   \n",
       "  2016-03-08 15:00:00  143.001600  1496214464       15.96      11200.000   \n",
       "  2016-03-10 15:00:00  142.912000  1496214465       10.15      17600.000   \n",
       "  2016-03-10 15:00:00  143.142400  1496214466        4.22      42400.000   \n",
       "  2016-04-20 15:00:00  142.124800  1496214467        4.19      42400.000   \n",
       "  2016-04-28 15:00:00  150.092800  1496214468       10.66      17600.000   \n",
       "  2016-06-08 15:00:00  151.200000  1496214469       10.50      18000.000   \n",
       "  2016-06-20 15:00:00  156.889600  1496214470       17.51      11200.000   \n",
       "  2016-07-07 15:00:00  151.296000  1496214471        3.94      48000.000   \n",
       "  2016-07-13 15:00:00  150.040000  1496214472       17.05      11000.000   \n",
       "  2016-09-05 15:00:00  162.816000  1496214473        4.24      48000.000   \n",
       "  2016-09-14 15:00:00  156.556800  1496214474        9.06      21600.000   \n",
       "  2016-09-20 15:00:00  156.112000  1496214475       17.74      11000.000   \n",
       "  2016-10-12 15:00:00  158.171200  1496214476        4.73      41800.000   \n",
       "  2016-10-28 15:00:00  162.859200  1496214477        9.17      22200.000   \n",
       "  2016-11-17 15:00:00  153.657600  1496214478       18.12      10600.000   \n",
       "  \n",
       "                      order_book_id    order_id position_effect  side symbol  \\\n",
       "  datetime                                                                     \n",
       "  2005-04-05 15:00:00   600036.XSHG  1496214188            None   BUY   招商银行   \n",
       "  2005-04-13 15:00:00   000001.XSHE  1496214189            None   BUY   平安银行   \n",
       "  2005-05-16 15:00:00   000001.XSHE  1496214190            None  SELL   平安银行   \n",
       "  2005-05-19 15:00:00   600036.XSHG  1496214191            None  SELL   招商银行   \n",
       "  2005-06-10 15:00:00   000001.XSHE  1496214192            None   BUY   平安银行   \n",
       "  2005-06-13 15:00:00   600050.XSHG  1496214193            None   BUY   中国联通   \n",
       "  2005-06-17 15:00:00   600036.XSHG  1496214194            None   BUY   招商银行   \n",
       "  2005-07-05 15:00:00   000001.XSHE  1496214195            None  SELL   平安银行   \n",
       "  2005-07-13 15:00:00   600050.XSHG  1496214196            None  SELL   中国联通   \n",
       "  2005-07-20 15:00:00   600050.XSHG  1496214197            None   BUY   中国联通   \n",
       "  2005-08-02 15:00:00   000001.XSHE  1496214198            None   BUY   平安银行   \n",
       "  2005-08-25 15:00:00   600050.XSHG  1496214199            None  SELL   中国联通   \n",
       "  2005-08-29 15:00:00   000001.XSHE  1496214200            None  SELL   平安银行   \n",
       "  2005-08-31 15:00:00   600036.XSHG  1496214201            None  SELL   招商银行   \n",
       "  2005-09-02 15:00:00   000001.XSHE  1496214202            None   BUY   平安银行   \n",
       "  2005-09-08 15:00:00   600036.XSHG  1496214203            None   BUY   招商银行   \n",
       "  2005-09-21 15:00:00   600036.XSHG  1496214204            None  SELL   招商银行   \n",
       "  2005-09-26 15:00:00   000001.XSHE  1496214205            None  SELL   平安银行   \n",
       "  2005-11-04 15:00:00   600050.XSHG  1496214206            None   BUY   中国联通   \n",
       "  2005-11-29 15:00:00   600036.XSHG  1496214207            None   BUY   招商银行   \n",
       "  2005-12-02 15:00:00   000001.XSHE  1496214208            None   BUY   平安银行   \n",
       "  2006-02-06 15:00:00   600050.XSHG  1496214209            None  SELL   中国联通   \n",
       "  2006-02-20 15:00:00   000001.XSHE  1496214210            None  SELL   平安银行   \n",
       "  2006-02-21 15:00:00   000001.XSHE  1496214211            None   BUY   平安银行   \n",
       "  2006-03-13 15:00:00   600036.XSHG  1496214212            None  SELL   招商银行   \n",
       "  2006-03-14 15:00:00   000001.XSHE  1496214213            None  SELL   平安银行   \n",
       "  2006-03-15 15:00:00   600050.XSHG  1496214214            None   BUY   中国联通   \n",
       "  2006-03-30 15:00:00   600050.XSHG  1496214215            None  SELL   中国联通   \n",
       "  2006-04-04 15:00:00   600036.XSHG  1496214216            None   BUY   招商银行   \n",
       "  2006-04-07 15:00:00   000001.XSHE  1496214217            None   BUY   平安银行   \n",
       "  ...                           ...         ...             ...   ...    ...   \n",
       "  2015-06-26 15:00:00   600036.XSHG  1496214450            None  SELL   招商银行   \n",
       "  2015-07-16 15:00:00   600036.XSHG  1496214451            None   BUY   招商银行   \n",
       "  2015-07-21 15:00:00   600036.XSHG  1496214452            None  SELL   招商银行   \n",
       "  2015-07-22 15:00:00   600036.XSHG  1496214453            None   BUY   招商银行   \n",
       "  2015-07-23 15:00:00   600036.XSHG  1496214454            None  SELL   招商银行   \n",
       "  2015-09-17 15:00:00   600036.XSHG  1496214456            None   BUY   招商银行   \n",
       "  2015-10-15 15:00:00   600050.XSHG  1496214457            None   BUY   中国联通   \n",
       "  2015-10-19 15:00:00   000001.XSHE  1496214458            None   BUY   平安银行   \n",
       "  2015-11-24 15:00:00   600036.XSHG  1496214459            None  SELL   招商银行   \n",
       "  2015-11-24 15:00:00   600050.XSHG  1496214460            None  SELL   中国联通   \n",
       "  2015-12-08 15:00:00   000001.XSHE  1496214461            None  SELL   平安银行   \n",
       "  2015-12-25 15:00:00   000001.XSHE  1496214462            None   BUY   平安银行   \n",
       "  2015-12-25 15:00:00   600036.XSHG  1496214463            None   BUY   招商银行   \n",
       "  2016-01-05 15:00:00   000001.XSHE  1496214464            None  SELL   平安银行   \n",
       "  2016-01-11 15:00:00   600036.XSHG  1496214465            None  SELL   招商银行   \n",
       "  2016-03-08 15:00:00   600036.XSHG  1496214466            None   BUY   招商银行   \n",
       "  2016-03-10 15:00:00   000001.XSHE  1496214467            None   BUY   平安银行   \n",
       "  2016-03-10 15:00:00   600050.XSHG  1496214468            None   BUY   中国联通   \n",
       "  2016-04-20 15:00:00   600050.XSHG  1496214469            None  SELL   中国联通   \n",
       "  2016-04-28 15:00:00   000001.XSHE  1496214470            None  SELL   平安银行   \n",
       "  2016-06-08 15:00:00   000001.XSHE  1496214471            None   BUY   平安银行   \n",
       "  2016-06-20 15:00:00   600036.XSHG  1496214472            None  SELL   招商银行   \n",
       "  2016-07-07 15:00:00   600050.XSHG  1496214473            None   BUY   中国联通   \n",
       "  2016-07-13 15:00:00   600036.XSHG  1496214474            None   BUY   招商银行   \n",
       "  2016-09-05 15:00:00   600050.XSHG  1496214475            None  SELL   中国联通   \n",
       "  2016-09-14 15:00:00   000001.XSHE  1496214476            None  SELL   平安银行   \n",
       "  2016-09-20 15:00:00   600036.XSHG  1496214477            None  SELL   招商银行   \n",
       "  2016-10-12 15:00:00   600050.XSHG  1496214478            None   BUY   中国联通   \n",
       "  2016-10-28 15:00:00   000001.XSHE  1496214479            None   BUY   平安银行   \n",
       "  2016-11-17 15:00:00   600036.XSHG  1496214480            None   BUY   招商银行   \n",
       "  \n",
       "                              tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                                \n",
       "  2005-04-05 15:00:00    0.000000  2005-04-05 15:00:00         26.018400  \n",
       "  2005-04-13 15:00:00    0.000000  2005-04-13 15:00:00         26.969600  \n",
       "  2005-05-16 15:00:00   28.910000  2005-05-16 15:00:00         52.038000  \n",
       "  2005-05-19 15:00:00   32.560000  2005-05-19 15:00:00         58.608000  \n",
       "  2005-06-10 15:00:00    0.000000  2005-06-10 15:00:00         25.267200  \n",
       "  2005-06-13 15:00:00    0.000000  2005-06-13 15:00:00         25.204800  \n",
       "  2005-06-17 15:00:00    0.000000  2005-06-17 15:00:00         24.920000  \n",
       "  2005-07-05 15:00:00   27.648000  2005-07-05 15:00:00         49.766400  \n",
       "  2005-07-13 15:00:00   30.916000  2005-07-13 15:00:00         55.648800  \n",
       "  2005-07-20 15:00:00    0.000000  2005-07-20 15:00:00         24.840000  \n",
       "  2005-08-02 15:00:00    0.000000  2005-08-02 15:00:00         23.116800  \n",
       "  2005-08-25 15:00:00   31.625000  2005-08-25 15:00:00         56.925000  \n",
       "  2005-08-29 15:00:00   29.184000  2005-08-29 15:00:00         52.531200  \n",
       "  2005-08-31 15:00:00   35.437500  2005-08-31 15:00:00         63.787500  \n",
       "  2005-09-02 15:00:00    0.000000  2005-09-02 15:00:00         25.540800  \n",
       "  2005-09-08 15:00:00    0.000000  2005-09-08 15:00:00         25.281600  \n",
       "  2005-09-21 15:00:00   29.762000  2005-09-21 15:00:00         53.571600  \n",
       "  2005-09-26 15:00:00   30.294000  2005-09-26 15:00:00         54.529200  \n",
       "  2005-11-04 15:00:00    0.000000  2005-11-04 15:00:00         24.561600  \n",
       "  2005-11-29 15:00:00    0.000000  2005-11-29 15:00:00         24.192000  \n",
       "  2005-12-02 15:00:00    0.000000  2005-12-02 15:00:00         24.719200  \n",
       "  2006-02-06 15:00:00   33.558000  2006-02-06 15:00:00         60.404400  \n",
       "  2006-02-20 15:00:00   33.337000  2006-02-20 15:00:00         60.006600  \n",
       "  2006-02-21 15:00:00    0.000000  2006-02-21 15:00:00         27.703200  \n",
       "  2006-03-13 15:00:00   32.733068  2006-03-13 15:00:00         58.919523  \n",
       "  2006-03-14 15:00:00   31.620000  2006-03-14 15:00:00         56.916000  \n",
       "  2006-03-15 15:00:00    0.000000  2006-03-15 15:00:00         25.612800  \n",
       "  2006-03-30 15:00:00   31.320000  2006-03-30 15:00:00         56.376000  \n",
       "  2006-04-04 15:00:00    0.000000  2006-04-04 15:00:00         25.428800  \n",
       "  2006-04-07 15:00:00    0.000000  2006-04-07 15:00:00         24.844800  \n",
       "  ...                         ...                  ...               ...  \n",
       "  2015-06-26 15:00:00  182.700000  2015-06-26 15:00:00        328.860000  \n",
       "  2015-07-16 15:00:00    0.000000  2015-07-16 15:00:00        151.008000  \n",
       "  2015-07-21 15:00:00  188.032000  2015-07-21 15:00:00        338.457600  \n",
       "  2015-07-22 15:00:00    0.000000  2015-07-22 15:00:00        151.368000  \n",
       "  2015-07-23 15:00:00  190.164000  2015-07-23 15:00:00        342.295200  \n",
       "  2015-09-17 15:00:00    0.000000  2015-09-17 15:00:00        150.313600  \n",
       "  2015-10-15 15:00:00    0.000000  2015-10-15 15:00:00        153.372800  \n",
       "  2015-10-19 15:00:00    0.000000  2015-10-19 15:00:00        150.433600  \n",
       "  2015-11-24 15:00:00  191.316000  2015-11-24 15:00:00        344.368800  \n",
       "  2015-11-24 15:00:00  190.855000  2015-11-24 15:00:00        343.539000  \n",
       "  2015-12-08 15:00:00  199.732000  2015-12-08 15:00:00        359.517600  \n",
       "  2015-12-25 15:00:00    0.000000  2015-12-25 15:00:00        154.876800  \n",
       "  2015-12-25 15:00:00    0.000000  2015-12-25 15:00:00        153.972000  \n",
       "  2016-01-05 15:00:00  177.840000  2016-01-05 15:00:00        320.112000  \n",
       "  2016-01-11 15:00:00  168.420000  2016-01-11 15:00:00        303.156000  \n",
       "  2016-03-08 15:00:00    0.000000  2016-03-08 15:00:00        143.001600  \n",
       "  2016-03-10 15:00:00    0.000000  2016-03-10 15:00:00        142.912000  \n",
       "  2016-03-10 15:00:00    0.000000  2016-03-10 15:00:00        143.142400  \n",
       "  2016-04-20 15:00:00  177.656000  2016-04-20 15:00:00        319.780800  \n",
       "  2016-04-28 15:00:00  187.616000  2016-04-28 15:00:00        337.708800  \n",
       "  2016-06-08 15:00:00    0.000000  2016-06-08 15:00:00        151.200000  \n",
       "  2016-06-20 15:00:00  196.112000  2016-06-20 15:00:00        353.001600  \n",
       "  2016-07-07 15:00:00    0.000000  2016-07-07 15:00:00        151.296000  \n",
       "  2016-07-13 15:00:00    0.000000  2016-07-13 15:00:00        150.040000  \n",
       "  2016-09-05 15:00:00  203.520000  2016-09-05 15:00:00        366.336000  \n",
       "  2016-09-14 15:00:00  195.696000  2016-09-14 15:00:00        352.252800  \n",
       "  2016-09-20 15:00:00  195.140000  2016-09-20 15:00:00        351.252000  \n",
       "  2016-10-12 15:00:00    0.000000  2016-10-12 15:00:00        158.171200  \n",
       "  2016-10-28 15:00:00    0.000000  2016-10-28 15:00:00        162.859200  \n",
       "  2016-11-17 15:00:00    0.000000  2016-11-17 15:00:00        153.657600  \n",
       "  \n",
       "  [290 rows x 12 columns]}}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.s2 = \"600036.XSHG\"\n",
    "    context.s3 = \"600050.XSHG\"\n",
    "    context.stocks = [context.s1, context.s2, context.s3] #建立股票池的列表\n",
    "    context.SHORTPERIOD = 10\n",
    "    context.LONGPERIOD = 30\n",
    "    context.order_percent = 1.0/len(context.stocks) #计算平均权重\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    for stocks in context.stocks:\n",
    "        prices = history_bars(stocks, context.LONGPERIOD+1, '1d', 'close')\n",
    "        short_avg = talib.SMA(prices, context.SHORTPERIOD)\n",
    "        long_avg = talib.SMA(prices, context.LONGPERIOD)\n",
    "\n",
    "        cur_position = context.portfolio.positions[stocks].quantity\n",
    "        if short_avg[-1] - long_avg[-1] < 0 and short_avg[-2] - long_avg[-2] > 0 and cur_position > 0:\n",
    "            order_target_value(stocks, 0)\n",
    "\n",
    "        if short_avg[-1] - long_avg[-1] > 0 and short_avg[-2] - long_avg[-2] < 0:\n",
    "            order_target_percent(stocks, context.order_percent)\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 等仓位多品种单策略加止损"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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s8+y5XBR8L9sWDH1fK0rqZOiDBg165fURL+5lv4cNnRcy+z0vxOvm4uUbz/17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wtrWzK5nOQ5cxn181+SNHMWY67+NVEK8f3i5vMnD95YQqd4AJit/lGwDmfwdxsJiaEmLAfFv//9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\n7jdxs1W+agkCxwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1eebb2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':               cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                   \n",
       "  2005-01-04  738.21      99261.79                  1.000    100000.00   \n",
       "  2005-01-05  738.21     100248.56                  1.000    100986.77   \n",
       "  2005-01-06  738.21      99300.17                  1.010    100038.38   \n",
       "  2005-01-07  738.21      99379.96                  1.000    100118.17   \n",
       "  2005-01-10  738.21     100381.88                  1.001    101120.09   \n",
       "  2005-01-11  738.21     100711.14                  1.011    101449.35   \n",
       "  2005-01-12  738.21     100671.75                  1.014    101409.96   \n",
       "  2005-01-13  738.21     100684.88                  1.014    101423.09   \n",
       "  2005-01-14  738.21      99819.31                  1.014    100557.52   \n",
       "  2005-01-17  738.21      97712.45                  1.006     98450.66   \n",
       "  2005-01-18  738.21      98443.69                  0.985     99181.90   \n",
       "  2005-01-19  738.21      97688.21                  0.992     98426.42   \n",
       "  2005-01-20  738.21      96581.25                  0.984     97319.46   \n",
       "  2005-01-21  738.21      99242.60                  0.973     99980.81   \n",
       "  2005-01-24  738.21     100811.13                  1.000    101549.34   \n",
       "  2005-01-25  738.21     100775.78                  1.015    101513.99   \n",
       "  2005-01-26  738.21      99982.93                  1.015    100721.14   \n",
       "  2005-01-27  738.21      98437.63                  1.007     99175.84   \n",
       "  2005-01-28  738.21      97890.21                  0.992     98628.42   \n",
       "  2005-01-31  738.21      96442.88                  0.986     97181.09   \n",
       "  2005-02-01  738.21      96550.95                  0.972     97289.16   \n",
       "  2005-02-02  738.21     101697.91                  0.973    102436.12   \n",
       "  2005-02-03  738.21     100315.22                  1.024    101053.43   \n",
       "  2005-02-04  738.21     102702.86                  1.011    103441.07   \n",
       "  2005-02-16  738.21     103381.58                  1.034    104119.79   \n",
       "  2005-02-17  738.21     103081.61                  1.041    103819.82   \n",
       "  2005-02-18  738.21     101612.06                  1.038    102350.27   \n",
       "  2005-02-21  738.21     103588.63                  1.024    104326.84   \n",
       "  2005-02-22  738.21     105720.74                  1.043    106458.95   \n",
       "  2005-02-23  738.21     105437.94                  1.065    106176.15   \n",
       "  ...            ...           ...                    ...          ...   \n",
       "  2016-10-21  738.21     336101.74                  3.359    336839.95   \n",
       "  2016-10-24  738.21     340125.58                  3.368    340863.79   \n",
       "  2016-10-25  738.21     340112.45                  3.409    340850.66   \n",
       "  2016-10-26  738.21     338834.80                  3.409    339573.01   \n",
       "  2016-10-27  738.21     337915.70                  3.396    338653.91   \n",
       "  2016-10-28  738.21     337353.13                  3.387    338091.34   \n",
       "  2016-10-31  738.21     336964.28                  3.381    337702.49   \n",
       "  2016-11-01  738.21     339264.05                  3.377    340002.26   \n",
       "  2016-11-02  738.21     336668.35                  3.400    337406.56   \n",
       "  2016-11-03  738.21     339873.08                  3.374    340611.29   \n",
       "  2016-11-04  738.21     338771.17                  3.406    339509.38   \n",
       "  2016-11-07  738.21     339015.59                  3.395    339753.80   \n",
       "  2016-11-08  738.21     340483.12                  3.398    341221.33   \n",
       "  2016-11-09  738.21     338658.05                  3.412    339396.26   \n",
       "  2016-11-10  738.21     342451.61                  3.394    343189.82   \n",
       "  2016-11-11  738.21     345139.22                  3.432    345877.43   \n",
       "  2016-11-14  738.21     346455.25                  3.459    347193.46   \n",
       "  2016-11-15  738.21     346416.87                  3.472    347155.08   \n",
       "  2016-11-16  738.21     346388.59                  3.472    347126.80   \n",
       "  2016-11-17  738.21     347090.54                  3.471    347828.75   \n",
       "  2016-11-18  738.21     345163.46                  3.478    345901.67   \n",
       "  2016-11-21  738.21     347552.11                  3.459    348290.32   \n",
       "  2016-11-22  738.21     350304.36                  3.483    351042.57   \n",
       "  2016-11-23  738.21     350947.73                  3.510    351685.94   \n",
       "  2016-11-24  738.21     352362.74                  3.517    353100.95   \n",
       "  2016-11-25  738.21     355651.30                  3.531    356389.51   \n",
       "  2016-11-28  738.21     357043.08                  3.564    357781.29   \n",
       "  2016-11-29  738.21     359968.04                  3.578    360706.25   \n",
       "  2016-11-30  738.21     357338.00                  3.607    358076.21   \n",
       "  2016-12-01  738.21     360069.04                  3.581    360807.25   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.009868  100000  \n",
       "  2005-01-06        1.000384  100000  \n",
       "  2005-01-07        1.001182  100000  \n",
       "  2005-01-10        1.011201  100000  \n",
       "  2005-01-11        1.014494  100000  \n",
       "  2005-01-12        1.014100  100000  \n",
       "  2005-01-13        1.014231  100000  \n",
       "  2005-01-14        1.005575  100000  \n",
       "  2005-01-17        0.984507  100000  \n",
       "  2005-01-18        0.991819  100000  \n",
       "  2005-01-19        0.984264  100000  \n",
       "  2005-01-20        0.973195  100000  \n",
       "  2005-01-21        0.999808  100000  \n",
       "  2005-01-24        1.015493  100000  \n",
       "  2005-01-25        1.015140  100000  \n",
       "  2005-01-26        1.007211  100000  \n",
       "  2005-01-27        0.991758  100000  \n",
       "  2005-01-28        0.986284  100000  \n",
       "  2005-01-31        0.971811  100000  \n",
       "  2005-02-01        0.972892  100000  \n",
       "  2005-02-02        1.024361  100000  \n",
       "  2005-02-03        1.010534  100000  \n",
       "  2005-02-04        1.034411  100000  \n",
       "  2005-02-16        1.041198  100000  \n",
       "  2005-02-17        1.038198  100000  \n",
       "  2005-02-18        1.023503  100000  \n",
       "  2005-02-21        1.043268  100000  \n",
       "  2005-02-22        1.064590  100000  \n",
       "  2005-02-23        1.061762  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        3.368400  100000  \n",
       "  2016-10-24        3.408638  100000  \n",
       "  2016-10-25        3.408507  100000  \n",
       "  2016-10-26        3.395730  100000  \n",
       "  2016-10-27        3.386539  100000  \n",
       "  2016-10-28        3.380913  100000  \n",
       "  2016-10-31        3.377025  100000  \n",
       "  2016-11-01        3.400023  100000  \n",
       "  2016-11-02        3.374066  100000  \n",
       "  2016-11-03        3.406113  100000  \n",
       "  2016-11-04        3.395094  100000  \n",
       "  2016-11-07        3.397538  100000  \n",
       "  2016-11-08        3.412213  100000  \n",
       "  2016-11-09        3.393963  100000  \n",
       "  2016-11-10        3.431898  100000  \n",
       "  2016-11-11        3.458774  100000  \n",
       "  2016-11-14        3.471935  100000  \n",
       "  2016-11-15        3.471551  100000  \n",
       "  2016-11-16        3.471268  100000  \n",
       "  2016-11-17        3.478287  100000  \n",
       "  2016-11-18        3.459017  100000  \n",
       "  2016-11-21        3.482903  100000  \n",
       "  2016-11-22        3.510426  100000  \n",
       "  2016-11-23        3.516859  100000  \n",
       "  2016-11-24        3.531010  100000  \n",
       "  2016-11-25        3.563895  100000  \n",
       "  2016-11-28        3.577813  100000  \n",
       "  2016-11-29        3.607063  100000  \n",
       "  2016-11-30        3.580762  100000  \n",
       "  2016-12-01        3.608073  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'portfolio':                   cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                       \n",
       "  2005-01-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-05  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-06  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-10  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-11  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-12  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-13  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-14  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-19  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-20  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-24  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-25  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-26  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-27  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-28  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-31  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-03  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-16  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-22  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-23  100000.000           0.0                  1.000   100000.000   \n",
       "  ...                ...           ...                    ...          ...   \n",
       "  2016-10-21  325968.231      184384.0                  5.083   510352.231   \n",
       "  2016-10-24  325968.231      183352.0                  5.104   509320.231   \n",
       "  2016-10-25  325968.231      181288.0                  5.093   507256.231   \n",
       "  2016-10-26  325968.231      183696.0                  5.073   509664.231   \n",
       "  2016-10-27  325968.231      178192.0                  5.097   504160.231   \n",
       "  2016-10-28  158940.716      343366.0                  5.042   502306.716   \n",
       "  2016-10-31  158940.716      343002.0                  5.023   501942.716   \n",
       "  2016-11-01  158940.716      344884.0                  5.019   503824.716   \n",
       "  2016-11-02  158940.716      340170.0                  5.038   499110.716   \n",
       "  2016-11-03  158940.716      347454.0                  4.991   506394.716   \n",
       "  2016-11-04  158940.716      351562.0                  5.064   510502.716   \n",
       "  2016-11-07  158940.716      351400.0                  5.105   510340.716   \n",
       "  2016-11-08  158940.716      349194.0                  5.103   508134.716   \n",
       "  2016-11-09  158940.716      343266.0                  5.081   502206.716   \n",
       "  2016-11-10  158940.716      345916.0                  5.022   504856.716   \n",
       "  2016-11-11  158940.716      349396.0                  5.049   508336.716   \n",
       "  2016-11-14  158940.716      358724.0                  5.083   517664.716   \n",
       "  2016-11-15  158940.716      354434.0                  5.177   513374.716   \n",
       "  2016-11-16  158940.716      364410.0                  5.134   523350.716   \n",
       "  2016-11-17    1170.601      530634.0                  5.234   531804.601   \n",
       "  2016-11-18    1170.601      528538.0                  5.318   529708.601   \n",
       "  2016-11-21    1170.601      531718.0                  5.297   532888.601   \n",
       "  2016-11-22    1170.601      535883.0                  5.329   537053.601   \n",
       "  2016-11-23    1170.601      535418.0                  5.371   536588.601   \n",
       "  2016-11-24    1170.601      535600.0                  5.366   536770.601   \n",
       "  2016-11-25    1170.601      544289.0                  5.368   545459.601   \n",
       "  2016-11-28    1170.601      545641.0                  5.455   546811.601   \n",
       "  2016-11-29    1170.601      549769.0                  5.468   550939.601   \n",
       "  2016-11-30    1170.601      564299.0                  5.509   565469.601   \n",
       "  2016-12-01    1170.601      587735.0                  5.655   588905.601   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.000000  100000  \n",
       "  2005-01-06        1.000000  100000  \n",
       "  2005-01-07        1.000000  100000  \n",
       "  2005-01-10        1.000000  100000  \n",
       "  2005-01-11        1.000000  100000  \n",
       "  2005-01-12        1.000000  100000  \n",
       "  2005-01-13        1.000000  100000  \n",
       "  2005-01-14        1.000000  100000  \n",
       "  2005-01-17        1.000000  100000  \n",
       "  2005-01-18        1.000000  100000  \n",
       "  2005-01-19        1.000000  100000  \n",
       "  2005-01-20        1.000000  100000  \n",
       "  2005-01-21        1.000000  100000  \n",
       "  2005-01-24        1.000000  100000  \n",
       "  2005-01-25        1.000000  100000  \n",
       "  2005-01-26        1.000000  100000  \n",
       "  2005-01-27        1.000000  100000  \n",
       "  2005-01-28        1.000000  100000  \n",
       "  2005-01-31        1.000000  100000  \n",
       "  2005-02-01        1.000000  100000  \n",
       "  2005-02-02        1.000000  100000  \n",
       "  2005-02-03        1.000000  100000  \n",
       "  2005-02-04        1.000000  100000  \n",
       "  2005-02-16        1.000000  100000  \n",
       "  2005-02-17        1.000000  100000  \n",
       "  2005-02-18        1.000000  100000  \n",
       "  2005-02-21        1.000000  100000  \n",
       "  2005-02-22        1.000000  100000  \n",
       "  2005-02-23        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        5.103522  100000  \n",
       "  2016-10-24        5.093202  100000  \n",
       "  2016-10-25        5.072562  100000  \n",
       "  2016-10-26        5.096642  100000  \n",
       "  2016-10-27        5.041602  100000  \n",
       "  2016-10-28        5.023067  100000  \n",
       "  2016-10-31        5.019427  100000  \n",
       "  2016-11-01        5.038247  100000  \n",
       "  2016-11-02        4.991107  100000  \n",
       "  2016-11-03        5.063947  100000  \n",
       "  2016-11-04        5.105027  100000  \n",
       "  2016-11-07        5.103407  100000  \n",
       "  2016-11-08        5.081347  100000  \n",
       "  2016-11-09        5.022067  100000  \n",
       "  2016-11-10        5.048567  100000  \n",
       "  2016-11-11        5.083367  100000  \n",
       "  2016-11-14        5.176647  100000  \n",
       "  2016-11-15        5.133747  100000  \n",
       "  2016-11-16        5.233507  100000  \n",
       "  2016-11-17        5.318046  100000  \n",
       "  2016-11-18        5.297086  100000  \n",
       "  2016-11-21        5.328886  100000  \n",
       "  2016-11-22        5.370536  100000  \n",
       "  2016-11-23        5.365886  100000  \n",
       "  2016-11-24        5.367706  100000  \n",
       "  2016-11-25        5.454596  100000  \n",
       "  2016-11-28        5.468116  100000  \n",
       "  2016-11-29        5.509396  100000  \n",
       "  2016-11-30        5.654696  100000  \n",
       "  2016-12-01        5.889056  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'stock_account':                   cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                     \n",
       "  2005-01-04  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-05  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-06  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-07  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-10  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-11  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-12  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-13  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-14  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-17  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-18  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-19  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-20  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-21  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-24  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-25  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-26  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-27  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-28  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-31  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-01  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-02  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-03  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-04  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-16  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-17  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-18  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-21  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-22  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-23  100000.000                  0.0           0.0   100000.000   \n",
       "  ...                ...                  ...           ...          ...   \n",
       "  2016-10-21  325968.231                  0.0      184384.0   510352.231   \n",
       "  2016-10-24  325968.231                  0.0      183352.0   509320.231   \n",
       "  2016-10-25  325968.231                  0.0      181288.0   507256.231   \n",
       "  2016-10-26  325968.231                  0.0      183696.0   509664.231   \n",
       "  2016-10-27  325968.231                  0.0      178192.0   504160.231   \n",
       "  2016-10-28  158940.716                  0.0      343366.0   502306.716   \n",
       "  2016-10-31  158940.716                  0.0      343002.0   501942.716   \n",
       "  2016-11-01  158940.716                  0.0      344884.0   503824.716   \n",
       "  2016-11-02  158940.716                  0.0      340170.0   499110.716   \n",
       "  2016-11-03  158940.716                  0.0      347454.0   506394.716   \n",
       "  2016-11-04  158940.716                  0.0      351562.0   510502.716   \n",
       "  2016-11-07  158940.716                  0.0      351400.0   510340.716   \n",
       "  2016-11-08  158940.716                  0.0      349194.0   508134.716   \n",
       "  2016-11-09  158940.716                  0.0      343266.0   502206.716   \n",
       "  2016-11-10  158940.716                  0.0      345916.0   504856.716   \n",
       "  2016-11-11  158940.716                  0.0      349396.0   508336.716   \n",
       "  2016-11-14  158940.716                  0.0      358724.0   517664.716   \n",
       "  2016-11-15  158940.716                  0.0      354434.0   513374.716   \n",
       "  2016-11-16  158940.716                  0.0      364410.0   523350.716   \n",
       "  2016-11-17    1170.601                  0.0      530634.0   531804.601   \n",
       "  2016-11-18    1170.601                  0.0      528538.0   529708.601   \n",
       "  2016-11-21    1170.601                  0.0      531718.0   532888.601   \n",
       "  2016-11-22    1170.601                  0.0      535883.0   537053.601   \n",
       "  2016-11-23    1170.601                  0.0      535418.0   536588.601   \n",
       "  2016-11-24    1170.601                  0.0      535600.0   536770.601   \n",
       "  2016-11-25    1170.601                  0.0      544289.0   545459.601   \n",
       "  2016-11-28    1170.601                  0.0      545641.0   546811.601   \n",
       "  2016-11-29    1170.601                  0.0      549769.0   550939.601   \n",
       "  2016-11-30    1170.601                  0.0      564299.0   565469.601   \n",
       "  2016-12-01    1170.601                  0.0      587735.0   588905.601   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2005-01-04             0.000  \n",
       "  2005-01-05             0.000  \n",
       "  2005-01-06             0.000  \n",
       "  2005-01-07             0.000  \n",
       "  2005-01-10             0.000  \n",
       "  2005-01-11             0.000  \n",
       "  2005-01-12             0.000  \n",
       "  2005-01-13             0.000  \n",
       "  2005-01-14             0.000  \n",
       "  2005-01-17             0.000  \n",
       "  2005-01-18             0.000  \n",
       "  2005-01-19             0.000  \n",
       "  2005-01-20             0.000  \n",
       "  2005-01-21             0.000  \n",
       "  2005-01-24             0.000  \n",
       "  2005-01-25             0.000  \n",
       "  2005-01-26             0.000  \n",
       "  2005-01-27             0.000  \n",
       "  2005-01-28             0.000  \n",
       "  2005-01-31             0.000  \n",
       "  2005-02-01             0.000  \n",
       "  2005-02-02             0.000  \n",
       "  2005-02-03             0.000  \n",
       "  2005-02-04             0.000  \n",
       "  2005-02-16             0.000  \n",
       "  2005-02-17             0.000  \n",
       "  2005-02-18             0.000  \n",
       "  2005-02-21             0.000  \n",
       "  2005-02-22             0.000  \n",
       "  2005-02-23             0.000  \n",
       "  ...                      ...  \n",
       "  2016-10-21             0.000  \n",
       "  2016-10-24             0.000  \n",
       "  2016-10-25             0.000  \n",
       "  2016-10-26             0.000  \n",
       "  2016-10-27             0.000  \n",
       "  2016-10-28           133.515  \n",
       "  2016-10-31             0.000  \n",
       "  2016-11-01             0.000  \n",
       "  2016-11-02             0.000  \n",
       "  2016-11-03             0.000  \n",
       "  2016-11-04             0.000  \n",
       "  2016-11-07             0.000  \n",
       "  2016-11-08             0.000  \n",
       "  2016-11-09             0.000  \n",
       "  2016-11-10             0.000  \n",
       "  2016-11-11             0.000  \n",
       "  2016-11-14             0.000  \n",
       "  2016-11-15             0.000  \n",
       "  2016-11-16             0.000  \n",
       "  2016-11-17           126.115  \n",
       "  2016-11-18             0.000  \n",
       "  2016-11-21             0.000  \n",
       "  2016-11-22             0.000  \n",
       "  2016-11-23             0.000  \n",
       "  2016-11-24             0.000  \n",
       "  2016-11-25             0.000  \n",
       "  2016-11-28             0.000  \n",
       "  2016-11-29             0.000  \n",
       "  2016-11-30             0.000  \n",
       "  2016-12-01             0.000  \n",
       "  \n",
       "  [2894 rows x 5 columns],\n",
       "  'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2005-04-05       8.79        8.79       32523.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-06       8.79        8.99       33263.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-07       8.79        9.15       33855.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-08       8.79        9.25       34225.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-11       8.79        9.14       33818.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-12       8.79        9.01       33337.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-13       6.88        6.88       33712.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-04-13       8.79        9.12       33744.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-14       6.88        6.60           0.0   000001.XSHE       0.0   平安银行\n",
       "  2005-04-14       8.79        8.96       33152.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-15       8.79        8.91       32967.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-18       8.79        8.92       33004.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-19       8.79        9.06       33522.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-20       8.79        8.94       33078.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-21       8.79        8.99       33263.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-22       8.79        9.12       33744.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-25       8.79        9.17       33929.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-26       8.79        9.05       33485.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-27       8.79        9.11       33707.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-28       8.79        9.21       34077.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-04-29       8.79        9.30       34410.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-05-09       8.79        9.15       33855.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-05-10       8.79        9.24       34188.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-05-11       8.79        9.11       33707.0   600036.XSHG    3700.0   招商银行\n",
       "  2005-05-12       8.79        8.60           0.0   600036.XSHG       0.0   招商银行\n",
       "  2005-06-10       6.58        6.58       32242.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-06-13       6.58        6.50       31850.0   000001.XSHE    4900.0   平安银行\n",
       "  2005-06-13       2.67        2.67       32307.0   600050.XSHG   12100.0   中国联通\n",
       "  2005-06-14       6.58        6.39           0.0   000001.XSHE       0.0   平安银行\n",
       "  2005-06-14       2.67        2.62       31702.0   600050.XSHG   12100.0   中国联通\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2016-11-18       9.17        9.18      167076.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-18       4.73        5.93      203992.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-18      18.12       18.10      157470.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-11-21       9.17        9.24      168168.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-21       4.73        5.93      203992.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-21      18.12       18.34      159558.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-11-22       9.17        9.36      170352.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-22       4.73        5.98      205712.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-22      18.12       18.37      159819.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-11-23       9.17        9.45      171990.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-23       4.73        5.80      199520.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-23      18.12       18.84      163908.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-11-24       9.17        9.47      172354.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-24       4.73        5.82      200208.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-24      18.12       18.74      163038.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-11-25       9.17        9.62      175084.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-25       4.73        5.93      203992.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-25      18.12       18.99      165213.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-11-28       9.17        9.63      175266.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-28       4.73        6.05      208120.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-28      18.12       18.65      162255.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-11-29       9.17        9.62      175084.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-29       4.73        6.15      211560.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-29      18.12       18.75      163125.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-11-30       9.17        9.55      173810.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-11-30       4.73        6.66      229104.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-11-30      18.12       18.55      161385.0   600036.XSHG    8700.0   招商银行\n",
       "  2016-12-01       9.17        9.60      174720.0   000001.XSHE   18200.0   平安银行\n",
       "  2016-12-01       4.73        7.33      252152.0   600050.XSHG   34400.0   中国联通\n",
       "  2016-12-01      18.12       18.49      160863.0   600036.XSHG    8700.0   招商银行\n",
       "  \n",
       "  [3261 rows x 6 columns],\n",
       "  'summary': {'alpha': 0.083,\n",
       "   'annualized_returns': 0.16,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.114,\n",
       "   'benchmark_total_returns': 2.608,\n",
       "   'beta': 0.3,\n",
       "   'cash': 1170.601,\n",
       "   'downside_risk': 0.168,\n",
       "   'end_date': '2016-12-01',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': 0.058,\n",
       "   'max_drawdown': 0.267,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.651,\n",
       "   'sortino': 0.667,\n",
       "   'start_date': '2005-01-04',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 4.889,\n",
       "   'total_value': 588905.601,\n",
       "   'tracking_error': 0.25,\n",
       "   'unit_net_value': 5.889,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.172},\n",
       "  'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2005-04-05 15:00:00   26.018400  1496214479        8.79       3700.000   \n",
       "  2005-04-13 15:00:00   26.969600  1496214480        6.88       4900.000   \n",
       "  2005-04-14 15:00:00   25.872000  1496214481        6.60       4900.000   \n",
       "  2005-05-12 15:00:00   25.456000  1496214482        8.60       3700.000   \n",
       "  2005-06-10 15:00:00   25.793600  1496214483        6.58       4900.000   \n",
       "  2005-06-13 15:00:00   25.845600  1496214484        2.67      12100.000   \n",
       "  2005-06-14 15:00:00   25.048800  1496214485        6.39       4900.000   \n",
       "  2005-06-15 15:00:00   24.877600  1496214486        2.57      12100.000   \n",
       "  2005-06-17 15:00:00   24.920000  1496214487        8.90       3500.000   \n",
       "  2005-07-20 15:00:00   25.920000  1496214488        2.70      12000.000   \n",
       "  2005-08-02 15:00:00   25.524800  1496214489        6.02       5300.000   \n",
       "  2005-08-25 15:00:00   26.400000  1496214490        2.75      12000.000   \n",
       "  2005-08-29 15:00:00   25.779200  1496214491        6.08       5300.000   \n",
       "  2005-08-31 15:00:00   28.350000  1496214492        6.75       5250.000   \n",
       "  2005-09-02 15:00:00   26.542400  1496214493        6.26       5300.000   \n",
       "  2005-09-08 15:00:00   26.930400  1496214494        6.87       4900.000   \n",
       "  2005-09-21 15:00:00   25.362400  1496214495        6.47       4900.000   \n",
       "  2005-09-21 15:00:00   25.567200  1496214496        6.03       5300.000   \n",
       "  2005-09-21 15:00:00    5.000000  1496214497        6.47          0.000   \n",
       "  2005-11-04 15:00:00   25.800000  1496214498        2.58      12500.000   \n",
       "  2005-11-29 15:00:00   25.704000  1496214499        6.30       5100.000   \n",
       "  2005-12-02 15:00:00   26.118400  1496214500        5.83       5600.000   \n",
       "  2005-12-05 15:00:00   25.177600  1496214501        5.62       5600.000   \n",
       "  2006-02-06 15:00:00   28.200000  1496214502        2.82      12500.000   \n",
       "  2006-02-21 15:00:00   28.246400  1496214503        6.79       5200.000   \n",
       "  2006-03-02 15:00:00   27.289600  1496214504        6.56       5200.000   \n",
       "  2006-03-13 15:00:00   27.823108  1496214505        6.28       5538.039   \n",
       "  2006-03-15 15:00:00   26.716800  1496214506        2.76      12100.000   \n",
       "  2006-03-22 15:00:00   26.039200  1496214507        2.69      12100.000   \n",
       "  2006-04-04 15:00:00   25.981600  1496214508        6.91       4700.000   \n",
       "  ...                         ...         ...         ...            ...   \n",
       "  2015-07-16 15:00:00  120.516000  1496214747       18.15       8300.000   \n",
       "  2015-07-21 15:00:00  120.051200  1496214748       18.08       8300.000   \n",
       "  2015-07-22 15:00:00  119.952000  1496214749       17.85       8400.000   \n",
       "  2015-07-23 15:00:00  120.556800  1496214750       17.94       8400.000   \n",
       "  2015-08-19 15:00:00    5.000000  1496214751        7.37          0.000   \n",
       "  2015-09-17 15:00:00  119.408000  1496214752       17.56       8500.000   \n",
       "  2015-10-15 15:00:00  121.843200  1496214753        6.68      22800.000   \n",
       "  2015-10-19 15:00:00  118.905600  1496214754       11.26      13200.000   \n",
       "  2015-11-02 15:00:00  115.824000  1496214755        6.35      22800.000   \n",
       "  2015-11-24 15:00:00  121.584000  1496214756       17.88       8500.000   \n",
       "  2015-12-08 15:00:00  126.297600  1496214757       11.96      13200.000   \n",
       "  2015-12-25 15:00:00  121.121600  1496214758       12.41      12200.000   \n",
       "  2015-12-25 15:00:00  120.244800  1496214759       18.33       8200.000   \n",
       "  2015-12-28 15:00:00  116.924800  1496214760       11.98      12200.000   \n",
       "  2015-12-28 15:00:00  117.030400  1496214761       17.84       8200.000   \n",
       "  2016-03-08 15:00:00  117.465600  1496214762       15.96       9200.000   \n",
       "  2016-03-10 15:00:00  117.740000  1496214763       10.15      14500.000   \n",
       "  2016-03-10 15:00:00  117.484800  1496214764        4.22      34800.000   \n",
       "  2016-04-20 15:00:00  116.649600  1496214765        4.19      34800.000   \n",
       "  2016-04-28 15:00:00  123.656000  1496214766       10.66      14500.000   \n",
       "  2016-06-08 15:00:00  124.320000  1496214767       10.50      14800.000   \n",
       "  2016-06-20 15:00:00  128.873600  1496214768       17.51       9200.000   \n",
       "  2016-07-07 15:00:00  124.188800  1496214769        3.94      39400.000   \n",
       "  2016-07-13 15:00:00  124.124000  1496214770       17.05       9100.000   \n",
       "  2016-09-05 15:00:00  133.644800  1496214771        4.24      39400.000   \n",
       "  2016-09-14 15:00:00  128.724480  1496214772        9.06      17760.000   \n",
       "  2016-09-20 15:00:00  129.147200  1496214773       17.74       9100.000   \n",
       "  2016-10-12 15:00:00  130.169600  1496214774        4.73      34400.000   \n",
       "  2016-10-28 15:00:00  133.515200  1496214775        9.17      18200.000   \n",
       "  2016-11-17 15:00:00  126.115200  1496214776       18.12       8700.000   \n",
       "  \n",
       "                      order_book_id    order_id position_effect  side symbol  \\\n",
       "  datetime                                                                     \n",
       "  2005-04-05 15:00:00   600036.XSHG  1496214481            None   BUY   招商银行   \n",
       "  2005-04-13 15:00:00   000001.XSHE  1496214482            None   BUY   平安银行   \n",
       "  2005-04-14 15:00:00   000001.XSHE  1496214483            None  SELL   平安银行   \n",
       "  2005-05-12 15:00:00   600036.XSHG  1496214484            None  SELL   招商银行   \n",
       "  2005-06-10 15:00:00   000001.XSHE  1496214485            None   BUY   平安银行   \n",
       "  2005-06-13 15:00:00   600050.XSHG  1496214486            None   BUY   中国联通   \n",
       "  2005-06-14 15:00:00   000001.XSHE  1496214487            None  SELL   平安银行   \n",
       "  2005-06-15 15:00:00   600050.XSHG  1496214488            None  SELL   中国联通   \n",
       "  2005-06-17 15:00:00   600036.XSHG  1496214489            None   BUY   招商银行   \n",
       "  2005-07-20 15:00:00   600050.XSHG  1496214490            None   BUY   中国联通   \n",
       "  2005-08-02 15:00:00   000001.XSHE  1496214491            None   BUY   平安银行   \n",
       "  2005-08-25 15:00:00   600050.XSHG  1496214492            None  SELL   中国联通   \n",
       "  2005-08-29 15:00:00   000001.XSHE  1496214493            None  SELL   平安银行   \n",
       "  2005-08-31 15:00:00   600036.XSHG  1496214494            None  SELL   招商银行   \n",
       "  2005-09-02 15:00:00   000001.XSHE  1496214495            None   BUY   平安银行   \n",
       "  2005-09-08 15:00:00   600036.XSHG  1496214496            None   BUY   招商银行   \n",
       "  2005-09-21 15:00:00   600036.XSHG  1496214497            None  SELL   招商银行   \n",
       "  2005-09-21 15:00:00   000001.XSHE  1496214498            None  SELL   平安银行   \n",
       "  2005-09-21 15:00:00   600036.XSHG  1496214499            None  SELL   招商银行   \n",
       "  2005-11-04 15:00:00   600050.XSHG  1496214500            None   BUY   中国联通   \n",
       "  2005-11-29 15:00:00   600036.XSHG  1496214501            None   BUY   招商银行   \n",
       "  2005-12-02 15:00:00   000001.XSHE  1496214502            None   BUY   平安银行   \n",
       "  2005-12-05 15:00:00   000001.XSHE  1496214503            None  SELL   平安银行   \n",
       "  2006-02-06 15:00:00   600050.XSHG  1496214504            None  SELL   中国联通   \n",
       "  2006-02-21 15:00:00   000001.XSHE  1496214505            None   BUY   平安银行   \n",
       "  2006-03-02 15:00:00   000001.XSHE  1496214506            None  SELL   平安银行   \n",
       "  2006-03-13 15:00:00   600036.XSHG  1496214507            None  SELL   招商银行   \n",
       "  2006-03-15 15:00:00   600050.XSHG  1496214508            None   BUY   中国联通   \n",
       "  2006-03-22 15:00:00   600050.XSHG  1496214509            None  SELL   中国联通   \n",
       "  2006-04-04 15:00:00   600036.XSHG  1496214510            None   BUY   招商银行   \n",
       "  ...                           ...         ...             ...   ...    ...   \n",
       "  2015-07-16 15:00:00   600036.XSHG  1496214752            None   BUY   招商银行   \n",
       "  2015-07-21 15:00:00   600036.XSHG  1496214753            None  SELL   招商银行   \n",
       "  2015-07-22 15:00:00   600036.XSHG  1496214754            None   BUY   招商银行   \n",
       "  2015-07-23 15:00:00   600036.XSHG  1496214755            None  SELL   招商银行   \n",
       "  2015-08-19 15:00:00   600050.XSHG  1496214757            None  SELL   中国联通   \n",
       "  2015-09-17 15:00:00   600036.XSHG  1496214758            None   BUY   招商银行   \n",
       "  2015-10-15 15:00:00   600050.XSHG  1496214759            None   BUY   中国联通   \n",
       "  2015-10-19 15:00:00   000001.XSHE  1496214760            None   BUY   平安银行   \n",
       "  2015-11-02 15:00:00   600050.XSHG  1496214761            None  SELL   中国联通   \n",
       "  2015-11-24 15:00:00   600036.XSHG  1496214762            None  SELL   招商银行   \n",
       "  2015-12-08 15:00:00   000001.XSHE  1496214763            None  SELL   平安银行   \n",
       "  2015-12-25 15:00:00   000001.XSHE  1496214764            None   BUY   平安银行   \n",
       "  2015-12-25 15:00:00   600036.XSHG  1496214765            None   BUY   招商银行   \n",
       "  2015-12-28 15:00:00   000001.XSHE  1496214766            None  SELL   平安银行   \n",
       "  2015-12-28 15:00:00   600036.XSHG  1496214767            None  SELL   招商银行   \n",
       "  2016-03-08 15:00:00   600036.XSHG  1496214768            None   BUY   招商银行   \n",
       "  2016-03-10 15:00:00   000001.XSHE  1496214769            None   BUY   平安银行   \n",
       "  2016-03-10 15:00:00   600050.XSHG  1496214770            None   BUY   中国联通   \n",
       "  2016-04-20 15:00:00   600050.XSHG  1496214771            None  SELL   中国联通   \n",
       "  2016-04-28 15:00:00   000001.XSHE  1496214772            None  SELL   平安银行   \n",
       "  2016-06-08 15:00:00   000001.XSHE  1496214773            None   BUY   平安银行   \n",
       "  2016-06-20 15:00:00   600036.XSHG  1496214774            None  SELL   招商银行   \n",
       "  2016-07-07 15:00:00   600050.XSHG  1496214775            None   BUY   中国联通   \n",
       "  2016-07-13 15:00:00   600036.XSHG  1496214776            None   BUY   招商银行   \n",
       "  2016-09-05 15:00:00   600050.XSHG  1496214777            None  SELL   中国联通   \n",
       "  2016-09-14 15:00:00   000001.XSHE  1496214778            None  SELL   平安银行   \n",
       "  2016-09-20 15:00:00   600036.XSHG  1496214779            None  SELL   招商银行   \n",
       "  2016-10-12 15:00:00   600050.XSHG  1496214780            None   BUY   中国联通   \n",
       "  2016-10-28 15:00:00   000001.XSHE  1496214781            None   BUY   平安银行   \n",
       "  2016-11-17 15:00:00   600036.XSHG  1496214782            None   BUY   招商银行   \n",
       "  \n",
       "                              tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                                \n",
       "  2005-04-05 15:00:00    0.000000  2005-04-05 15:00:00         26.018400  \n",
       "  2005-04-13 15:00:00    0.000000  2005-04-13 15:00:00         26.969600  \n",
       "  2005-04-14 15:00:00   32.340000  2005-04-14 15:00:00         58.212000  \n",
       "  2005-05-12 15:00:00   31.820000  2005-05-12 15:00:00         57.276000  \n",
       "  2005-06-10 15:00:00    0.000000  2005-06-10 15:00:00         25.793600  \n",
       "  2005-06-13 15:00:00    0.000000  2005-06-13 15:00:00         25.845600  \n",
       "  2005-06-14 15:00:00   31.311000  2005-06-14 15:00:00         56.359800  \n",
       "  2005-06-15 15:00:00   31.097000  2005-06-15 15:00:00         55.974600  \n",
       "  2005-06-17 15:00:00    0.000000  2005-06-17 15:00:00         24.920000  \n",
       "  2005-07-20 15:00:00    0.000000  2005-07-20 15:00:00         25.920000  \n",
       "  2005-08-02 15:00:00    0.000000  2005-08-02 15:00:00         25.524800  \n",
       "  2005-08-25 15:00:00   33.000000  2005-08-25 15:00:00         59.400000  \n",
       "  2005-08-29 15:00:00   32.224000  2005-08-29 15:00:00         58.003200  \n",
       "  2005-08-31 15:00:00   35.437500  2005-08-31 15:00:00         63.787500  \n",
       "  2005-09-02 15:00:00    0.000000  2005-09-02 15:00:00         26.542400  \n",
       "  2005-09-08 15:00:00    0.000000  2005-09-08 15:00:00         26.930400  \n",
       "  2005-09-21 15:00:00   31.703000  2005-09-21 15:00:00         57.065400  \n",
       "  2005-09-21 15:00:00   31.959000  2005-09-21 15:00:00         57.526200  \n",
       "  2005-09-21 15:00:00    0.000000  2005-09-21 15:00:00          5.000000  \n",
       "  2005-11-04 15:00:00    0.000000  2005-11-04 15:00:00         25.800000  \n",
       "  2005-11-29 15:00:00    0.000000  2005-11-29 15:00:00         25.704000  \n",
       "  2005-12-02 15:00:00    0.000000  2005-12-02 15:00:00         26.118400  \n",
       "  2005-12-05 15:00:00   31.472000  2005-12-05 15:00:00         56.649600  \n",
       "  2006-02-06 15:00:00   35.250000  2006-02-06 15:00:00         63.450000  \n",
       "  2006-02-21 15:00:00    0.000000  2006-02-21 15:00:00         28.246400  \n",
       "  2006-03-02 15:00:00   34.112000  2006-03-02 15:00:00         61.401600  \n",
       "  2006-03-13 15:00:00   34.778885  2006-03-13 15:00:00         62.601993  \n",
       "  2006-03-15 15:00:00    0.000000  2006-03-15 15:00:00         26.716800  \n",
       "  2006-03-22 15:00:00   32.549000  2006-03-22 15:00:00         58.588200  \n",
       "  2006-04-04 15:00:00    0.000000  2006-04-04 15:00:00         25.981600  \n",
       "  ...                         ...                  ...               ...  \n",
       "  2015-07-16 15:00:00    0.000000  2015-07-16 15:00:00        120.516000  \n",
       "  2015-07-21 15:00:00  150.064000  2015-07-21 15:00:00        270.115200  \n",
       "  2015-07-22 15:00:00    0.000000  2015-07-22 15:00:00        119.952000  \n",
       "  2015-07-23 15:00:00  150.696000  2015-07-23 15:00:00        271.252800  \n",
       "  2015-08-19 15:00:00    0.000000  2015-08-19 15:00:00          5.000000  \n",
       "  2015-09-17 15:00:00    0.000000  2015-09-17 15:00:00        119.408000  \n",
       "  2015-10-15 15:00:00    0.000000  2015-10-15 15:00:00        121.843200  \n",
       "  2015-10-19 15:00:00    0.000000  2015-10-19 15:00:00        118.905600  \n",
       "  2015-11-02 15:00:00  144.780000  2015-11-02 15:00:00        260.604000  \n",
       "  2015-11-24 15:00:00  151.980000  2015-11-24 15:00:00        273.564000  \n",
       "  2015-12-08 15:00:00  157.872000  2015-12-08 15:00:00        284.169600  \n",
       "  2015-12-25 15:00:00    0.000000  2015-12-25 15:00:00        121.121600  \n",
       "  2015-12-25 15:00:00    0.000000  2015-12-25 15:00:00        120.244800  \n",
       "  2015-12-28 15:00:00  146.156000  2015-12-28 15:00:00        263.080800  \n",
       "  2015-12-28 15:00:00  146.288000  2015-12-28 15:00:00        263.318400  \n",
       "  2016-03-08 15:00:00    0.000000  2016-03-08 15:00:00        117.465600  \n",
       "  2016-03-10 15:00:00    0.000000  2016-03-10 15:00:00        117.740000  \n",
       "  2016-03-10 15:00:00    0.000000  2016-03-10 15:00:00        117.484800  \n",
       "  2016-04-20 15:00:00  145.812000  2016-04-20 15:00:00        262.461600  \n",
       "  2016-04-28 15:00:00  154.570000  2016-04-28 15:00:00        278.226000  \n",
       "  2016-06-08 15:00:00    0.000000  2016-06-08 15:00:00        124.320000  \n",
       "  2016-06-20 15:00:00  161.092000  2016-06-20 15:00:00        289.965600  \n",
       "  2016-07-07 15:00:00    0.000000  2016-07-07 15:00:00        124.188800  \n",
       "  2016-07-13 15:00:00    0.000000  2016-07-13 15:00:00        124.124000  \n",
       "  2016-09-05 15:00:00  167.056000  2016-09-05 15:00:00        300.700800  \n",
       "  2016-09-14 15:00:00  160.905600  2016-09-14 15:00:00        289.630080  \n",
       "  2016-09-20 15:00:00  161.434000  2016-09-20 15:00:00        290.581200  \n",
       "  2016-10-12 15:00:00    0.000000  2016-10-12 15:00:00        130.169600  \n",
       "  2016-10-28 15:00:00    0.000000  2016-10-28 15:00:00        133.515200  \n",
       "  2016-11-17 15:00:00    0.000000  2016-11-17 15:00:00        126.115200  \n",
       "  \n",
       "  [298 rows x 12 columns]}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.s2 = \"600036.XSHG\"\n",
    "    context.s3 = \"600050.XSHG\"\n",
    "    context.stocks = [context.s1, context.s2, context.s3]\n",
    "    context.SHORTPERIOD = 10\n",
    "    context.LONGPERIOD = 30\n",
    "    context.order_percent = 1.0/len(context.stocks)\n",
    "    context.stoplossmultipler= 0.98 #止损 乘数 \n",
    "    context.takepofitmultipler= 3 #止盈 乘数\n",
    "    \n",
    "def handle_bar(context, bar_dict):\n",
    "    entry_exit(context, bar_dict)\n",
    "    stop_loss(context, bar_dict)\n",
    "    \n",
    "    \n",
    "def stop_loss(context,bar_dict):\n",
    "    for stock in context.portfolio.positions:\n",
    "        if bar_dict[stock].last<context.portfolio.positions[stock].avg_price*context.stoplossmultipler:# 现价低于 原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "        elif bar_dict[stock].last>context.portfolio.positions[stock].avg_price*context.takepofitmultipler:# 现价高于原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "\n",
    "def entry_exit(context, bar_dict):\n",
    "    for stocks in context.stocks:\n",
    "        prices = history_bars(stocks, context.LONGPERIOD+1, '1d', 'close')\n",
    "        short_avg = talib.SMA(prices, context.SHORTPERIOD)\n",
    "        long_avg = talib.SMA(prices, context.LONGPERIOD)\n",
    "\n",
    "        cur_position = context.portfolio.positions[stocks].quantity\n",
    "\n",
    "        if short_avg[-1] - long_avg[-1] < 0 and short_avg[-2] - long_avg[-2] > 0 and cur_position > 0:\n",
    "            order_target_value(stocks, 0)\n",
    "\n",
    "        if short_avg[-1] - long_avg[-1] > 0 and short_avg[-2] - long_avg[-2] < 0:\n",
    "            order_target_percent(stocks, context.order_percent)\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 优化权重的投资组合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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x48d544038PLywtPTkw0bNnDgwAFMTU2pX78+ffr0oVy5cvj7++Ph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\ntovth2o8pcABtudXEx1mIjk22JNYE2Dl9jLeWX0IgPOmJ7O3uI7D7TmnA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iFt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\nQURERERERETS/Q81qO8A894JOQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x238e986a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':               cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                   \n",
       "  2005-01-04  738.21      99261.79                  1.000    100000.00   \n",
       "  2005-01-05  738.21     100248.56                  1.000    100986.77   \n",
       "  2005-01-06  738.21      99300.17                  1.010    100038.38   \n",
       "  2005-01-07  738.21      99379.96                  1.000    100118.17   \n",
       "  2005-01-10  738.21     100381.88                  1.001    101120.09   \n",
       "  2005-01-11  738.21     100711.14                  1.011    101449.35   \n",
       "  2005-01-12  738.21     100671.75                  1.014    101409.96   \n",
       "  2005-01-13  738.21     100684.88                  1.014    101423.09   \n",
       "  2005-01-14  738.21      99819.31                  1.014    100557.52   \n",
       "  2005-01-17  738.21      97712.45                  1.006     98450.66   \n",
       "  2005-01-18  738.21      98443.69                  0.985     99181.90   \n",
       "  2005-01-19  738.21      97688.21                  0.992     98426.42   \n",
       "  2005-01-20  738.21      96581.25                  0.984     97319.46   \n",
       "  2005-01-21  738.21      99242.60                  0.973     99980.81   \n",
       "  2005-01-24  738.21     100811.13                  1.000    101549.34   \n",
       "  2005-01-25  738.21     100775.78                  1.015    101513.99   \n",
       "  2005-01-26  738.21      99982.93                  1.015    100721.14   \n",
       "  2005-01-27  738.21      98437.63                  1.007     99175.84   \n",
       "  2005-01-28  738.21      97890.21                  0.992     98628.42   \n",
       "  2005-01-31  738.21      96442.88                  0.986     97181.09   \n",
       "  2005-02-01  738.21      96550.95                  0.972     97289.16   \n",
       "  2005-02-02  738.21     101697.91                  0.973    102436.12   \n",
       "  2005-02-03  738.21     100315.22                  1.024    101053.43   \n",
       "  2005-02-04  738.21     102702.86                  1.011    103441.07   \n",
       "  2005-02-16  738.21     103381.58                  1.034    104119.79   \n",
       "  2005-02-17  738.21     103081.61                  1.041    103819.82   \n",
       "  2005-02-18  738.21     101612.06                  1.038    102350.27   \n",
       "  2005-02-21  738.21     103588.63                  1.024    104326.84   \n",
       "  2005-02-22  738.21     105720.74                  1.043    106458.95   \n",
       "  2005-02-23  738.21     105437.94                  1.065    106176.15   \n",
       "  ...            ...           ...                    ...          ...   \n",
       "  2016-10-21  738.21     336101.74                  3.359    336839.95   \n",
       "  2016-10-24  738.21     340125.58                  3.368    340863.79   \n",
       "  2016-10-25  738.21     340112.45                  3.409    340850.66   \n",
       "  2016-10-26  738.21     338834.80                  3.409    339573.01   \n",
       "  2016-10-27  738.21     337915.70                  3.396    338653.91   \n",
       "  2016-10-28  738.21     337353.13                  3.387    338091.34   \n",
       "  2016-10-31  738.21     336964.28                  3.381    337702.49   \n",
       "  2016-11-01  738.21     339264.05                  3.377    340002.26   \n",
       "  2016-11-02  738.21     336668.35                  3.400    337406.56   \n",
       "  2016-11-03  738.21     339873.08                  3.374    340611.29   \n",
       "  2016-11-04  738.21     338771.17                  3.406    339509.38   \n",
       "  2016-11-07  738.21     339015.59                  3.395    339753.80   \n",
       "  2016-11-08  738.21     340483.12                  3.398    341221.33   \n",
       "  2016-11-09  738.21     338658.05                  3.412    339396.26   \n",
       "  2016-11-10  738.21     342451.61                  3.394    343189.82   \n",
       "  2016-11-11  738.21     345139.22                  3.432    345877.43   \n",
       "  2016-11-14  738.21     346455.25                  3.459    347193.46   \n",
       "  2016-11-15  738.21     346416.87                  3.472    347155.08   \n",
       "  2016-11-16  738.21     346388.59                  3.472    347126.80   \n",
       "  2016-11-17  738.21     347090.54                  3.471    347828.75   \n",
       "  2016-11-18  738.21     345163.46                  3.478    345901.67   \n",
       "  2016-11-21  738.21     347552.11                  3.459    348290.32   \n",
       "  2016-11-22  738.21     350304.36                  3.483    351042.57   \n",
       "  2016-11-23  738.21     350947.73                  3.510    351685.94   \n",
       "  2016-11-24  738.21     352362.74                  3.517    353100.95   \n",
       "  2016-11-25  738.21     355651.30                  3.531    356389.51   \n",
       "  2016-11-28  738.21     357043.08                  3.564    357781.29   \n",
       "  2016-11-29  738.21     359968.04                  3.578    360706.25   \n",
       "  2016-11-30  738.21     357338.00                  3.607    358076.21   \n",
       "  2016-12-01  738.21     360069.04                  3.581    360807.25   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.009868  100000  \n",
       "  2005-01-06        1.000384  100000  \n",
       "  2005-01-07        1.001182  100000  \n",
       "  2005-01-10        1.011201  100000  \n",
       "  2005-01-11        1.014494  100000  \n",
       "  2005-01-12        1.014100  100000  \n",
       "  2005-01-13        1.014231  100000  \n",
       "  2005-01-14        1.005575  100000  \n",
       "  2005-01-17        0.984507  100000  \n",
       "  2005-01-18        0.991819  100000  \n",
       "  2005-01-19        0.984264  100000  \n",
       "  2005-01-20        0.973195  100000  \n",
       "  2005-01-21        0.999808  100000  \n",
       "  2005-01-24        1.015493  100000  \n",
       "  2005-01-25        1.015140  100000  \n",
       "  2005-01-26        1.007211  100000  \n",
       "  2005-01-27        0.991758  100000  \n",
       "  2005-01-28        0.986284  100000  \n",
       "  2005-01-31        0.971811  100000  \n",
       "  2005-02-01        0.972892  100000  \n",
       "  2005-02-02        1.024361  100000  \n",
       "  2005-02-03        1.010534  100000  \n",
       "  2005-02-04        1.034411  100000  \n",
       "  2005-02-16        1.041198  100000  \n",
       "  2005-02-17        1.038198  100000  \n",
       "  2005-02-18        1.023503  100000  \n",
       "  2005-02-21        1.043268  100000  \n",
       "  2005-02-22        1.064590  100000  \n",
       "  2005-02-23        1.061762  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        3.368400  100000  \n",
       "  2016-10-24        3.408638  100000  \n",
       "  2016-10-25        3.408507  100000  \n",
       "  2016-10-26        3.395730  100000  \n",
       "  2016-10-27        3.386539  100000  \n",
       "  2016-10-28        3.380913  100000  \n",
       "  2016-10-31        3.377025  100000  \n",
       "  2016-11-01        3.400023  100000  \n",
       "  2016-11-02        3.374066  100000  \n",
       "  2016-11-03        3.406113  100000  \n",
       "  2016-11-04        3.395094  100000  \n",
       "  2016-11-07        3.397538  100000  \n",
       "  2016-11-08        3.412213  100000  \n",
       "  2016-11-09        3.393963  100000  \n",
       "  2016-11-10        3.431898  100000  \n",
       "  2016-11-11        3.458774  100000  \n",
       "  2016-11-14        3.471935  100000  \n",
       "  2016-11-15        3.471551  100000  \n",
       "  2016-11-16        3.471268  100000  \n",
       "  2016-11-17        3.478287  100000  \n",
       "  2016-11-18        3.459017  100000  \n",
       "  2016-11-21        3.482903  100000  \n",
       "  2016-11-22        3.510426  100000  \n",
       "  2016-11-23        3.516859  100000  \n",
       "  2016-11-24        3.531010  100000  \n",
       "  2016-11-25        3.563895  100000  \n",
       "  2016-11-28        3.577813  100000  \n",
       "  2016-11-29        3.607063  100000  \n",
       "  2016-11-30        3.580762  100000  \n",
       "  2016-12-01        3.608073  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'portfolio':                   cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                       \n",
       "  2005-01-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-05  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-06  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-10  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-11  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-12  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-13  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-14  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-19  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-20  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-24  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-25  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-26  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-27  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-28  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-31  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-03  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-16  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-22  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-23  100000.000           0.0                  1.000   100000.000   \n",
       "  ...                ...           ...                    ...          ...   \n",
       "  2016-10-21  317458.252      193496.0                  5.088   510954.252   \n",
       "  2016-10-24  317458.252      192413.0                  5.110   509871.252   \n",
       "  2016-10-25  317458.252      190247.0                  5.099   507705.252   \n",
       "  2016-10-26  317458.252      192774.0                  5.077   510232.252   \n",
       "  2016-10-27  317458.252      186998.0                  5.102   504456.252   \n",
       "  2016-10-28  191728.749      310822.0                  5.045   502550.749   \n",
       "  2016-10-31  191728.749      310548.0                  5.026   502276.749   \n",
       "  2016-11-01  191728.749      312577.0                  5.023   504305.749   \n",
       "  2016-11-02  191728.749      308008.0                  5.043   499736.749   \n",
       "  2016-11-03  191728.749      315328.0                  4.997   507056.749   \n",
       "  2016-11-04  191728.749      319747.0                  5.071   511475.749   \n",
       "  2016-11-07  191728.749      319523.0                  5.115   511251.749   \n",
       "  2016-11-08  191728.749      317046.0                  5.113   508774.749   \n",
       "  2016-11-09  191728.749      311257.0                  5.088   502985.749   \n",
       "  2016-11-10  191728.749      313660.0                  5.030   505388.749   \n",
       "  2016-11-11  191728.749      317096.0                  5.054   508824.749   \n",
       "  2016-11-14  191728.749      326669.0                  5.088   518397.749   \n",
       "  2016-11-15  191728.749      322113.0                  5.184   513841.749   \n",
       "  2016-11-16  191728.749      332582.0                  5.138   524310.749   \n",
       "  2016-11-17    1316.541      531954.0                  5.243   533270.541   \n",
       "  2016-11-18    1316.541      529889.0                  5.333   531205.541   \n",
       "  2016-11-21    1316.541      533231.0                  5.312   534547.541   \n",
       "  2016-11-22    1316.541      536995.0                  5.345   538311.541   \n",
       "  2016-11-23    1316.541      536665.0                  5.383   537981.541   \n",
       "  2016-11-24    1316.541      536611.0                  5.380   537927.541   \n",
       "  2016-11-25    1316.541      545262.0                  5.379   546578.541   \n",
       "  2016-11-28    1316.541      546161.0                  5.466   547477.541   \n",
       "  2016-11-29    1316.541      550684.0                  5.475   552000.541   \n",
       "  2016-11-30    1316.541      566036.0                  5.520   567352.541   \n",
       "  2016-12-01    1316.541      590278.0                  5.674   591594.541   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.000000  100000  \n",
       "  2005-01-06        1.000000  100000  \n",
       "  2005-01-07        1.000000  100000  \n",
       "  2005-01-10        1.000000  100000  \n",
       "  2005-01-11        1.000000  100000  \n",
       "  2005-01-12        1.000000  100000  \n",
       "  2005-01-13        1.000000  100000  \n",
       "  2005-01-14        1.000000  100000  \n",
       "  2005-01-17        1.000000  100000  \n",
       "  2005-01-18        1.000000  100000  \n",
       "  2005-01-19        1.000000  100000  \n",
       "  2005-01-20        1.000000  100000  \n",
       "  2005-01-21        1.000000  100000  \n",
       "  2005-01-24        1.000000  100000  \n",
       "  2005-01-25        1.000000  100000  \n",
       "  2005-01-26        1.000000  100000  \n",
       "  2005-01-27        1.000000  100000  \n",
       "  2005-01-28        1.000000  100000  \n",
       "  2005-01-31        1.000000  100000  \n",
       "  2005-02-01        1.000000  100000  \n",
       "  2005-02-02        1.000000  100000  \n",
       "  2005-02-03        1.000000  100000  \n",
       "  2005-02-04        1.000000  100000  \n",
       "  2005-02-16        1.000000  100000  \n",
       "  2005-02-17        1.000000  100000  \n",
       "  2005-02-18        1.000000  100000  \n",
       "  2005-02-21        1.000000  100000  \n",
       "  2005-02-22        1.000000  100000  \n",
       "  2005-02-23        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        5.109543  100000  \n",
       "  2016-10-24        5.098713  100000  \n",
       "  2016-10-25        5.077053  100000  \n",
       "  2016-10-26        5.102323  100000  \n",
       "  2016-10-27        5.044563  100000  \n",
       "  2016-10-28        5.025507  100000  \n",
       "  2016-10-31        5.022767  100000  \n",
       "  2016-11-01        5.043057  100000  \n",
       "  2016-11-02        4.997367  100000  \n",
       "  2016-11-03        5.070567  100000  \n",
       "  2016-11-04        5.114757  100000  \n",
       "  2016-11-07        5.112517  100000  \n",
       "  2016-11-08        5.087747  100000  \n",
       "  2016-11-09        5.029857  100000  \n",
       "  2016-11-10        5.053887  100000  \n",
       "  2016-11-11        5.088247  100000  \n",
       "  2016-11-14        5.183977  100000  \n",
       "  2016-11-15        5.138417  100000  \n",
       "  2016-11-16        5.243107  100000  \n",
       "  2016-11-17        5.332705  100000  \n",
       "  2016-11-18        5.312055  100000  \n",
       "  2016-11-21        5.345475  100000  \n",
       "  2016-11-22        5.383115  100000  \n",
       "  2016-11-23        5.379815  100000  \n",
       "  2016-11-24        5.379275  100000  \n",
       "  2016-11-25        5.465785  100000  \n",
       "  2016-11-28        5.474775  100000  \n",
       "  2016-11-29        5.520005  100000  \n",
       "  2016-11-30        5.673525  100000  \n",
       "  2016-12-01        5.915945  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'stock_account':                   cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                     \n",
       "  2005-01-04  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-05  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-06  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-07  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-10  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-11  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-12  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-13  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-14  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-17  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-18  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-19  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-20  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-21  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-24  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-25  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-26  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-27  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-28  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-01-31  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-01  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-02  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-03  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-04  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-16  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-17  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-18  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-21  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-22  100000.000                  0.0           0.0   100000.000   \n",
       "  2005-02-23  100000.000                  0.0           0.0   100000.000   \n",
       "  ...                ...                  ...           ...          ...   \n",
       "  2016-10-21  317458.252                  0.0      193496.0   510954.252   \n",
       "  2016-10-24  317458.252                  0.0      192413.0   509871.252   \n",
       "  2016-10-25  317458.252                  0.0      190247.0   507705.252   \n",
       "  2016-10-26  317458.252                  0.0      192774.0   510232.252   \n",
       "  2016-10-27  317458.252                  0.0      186998.0   504456.252   \n",
       "  2016-10-28  191728.749                  0.0      310822.0   502550.749   \n",
       "  2016-10-31  191728.749                  0.0      310548.0   502276.749   \n",
       "  2016-11-01  191728.749                  0.0      312577.0   504305.749   \n",
       "  2016-11-02  191728.749                  0.0      308008.0   499736.749   \n",
       "  2016-11-03  191728.749                  0.0      315328.0   507056.749   \n",
       "  2016-11-04  191728.749                  0.0      319747.0   511475.749   \n",
       "  2016-11-07  191728.749                  0.0      319523.0   511251.749   \n",
       "  2016-11-08  191728.749                  0.0      317046.0   508774.749   \n",
       "  2016-11-09  191728.749                  0.0      311257.0   502985.749   \n",
       "  2016-11-10  191728.749                  0.0      313660.0   505388.749   \n",
       "  2016-11-11  191728.749                  0.0      317096.0   508824.749   \n",
       "  2016-11-14  191728.749                  0.0      326669.0   518397.749   \n",
       "  2016-11-15  191728.749                  0.0      322113.0   513841.749   \n",
       "  2016-11-16  191728.749                  0.0      332582.0   524310.749   \n",
       "  2016-11-17    1316.541                  0.0      531954.0   533270.541   \n",
       "  2016-11-18    1316.541                  0.0      529889.0   531205.541   \n",
       "  2016-11-21    1316.541                  0.0      533231.0   534547.541   \n",
       "  2016-11-22    1316.541                  0.0      536995.0   538311.541   \n",
       "  2016-11-23    1316.541                  0.0      536665.0   537981.541   \n",
       "  2016-11-24    1316.541                  0.0      536611.0   537927.541   \n",
       "  2016-11-25    1316.541                  0.0      545262.0   546578.541   \n",
       "  2016-11-28    1316.541                  0.0      546161.0   547477.541   \n",
       "  2016-11-29    1316.541                  0.0      550684.0   552000.541   \n",
       "  2016-11-30    1316.541                  0.0      566036.0   567352.541   \n",
       "  2016-12-01    1316.541                  0.0      590278.0   591594.541   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2005-01-04             0.000  \n",
       "  2005-01-05             0.000  \n",
       "  2005-01-06             0.000  \n",
       "  2005-01-07             0.000  \n",
       "  2005-01-10             0.000  \n",
       "  2005-01-11             0.000  \n",
       "  2005-01-12             0.000  \n",
       "  2005-01-13             0.000  \n",
       "  2005-01-14             0.000  \n",
       "  2005-01-17             0.000  \n",
       "  2005-01-18             0.000  \n",
       "  2005-01-19             0.000  \n",
       "  2005-01-20             0.000  \n",
       "  2005-01-21             0.000  \n",
       "  2005-01-24             0.000  \n",
       "  2005-01-25             0.000  \n",
       "  2005-01-26             0.000  \n",
       "  2005-01-27             0.000  \n",
       "  2005-01-28             0.000  \n",
       "  2005-01-31             0.000  \n",
       "  2005-02-01             0.000  \n",
       "  2005-02-02             0.000  \n",
       "  2005-02-03             0.000  \n",
       "  2005-02-04             0.000  \n",
       "  2005-02-16             0.000  \n",
       "  2005-02-17             0.000  \n",
       "  2005-02-18             0.000  \n",
       "  2005-02-21             0.000  \n",
       "  2005-02-22             0.000  \n",
       "  2005-02-23             0.000  \n",
       "  ...                      ...  \n",
       "  2016-10-21             0.000  \n",
       "  2016-10-24             0.000  \n",
       "  2016-10-25             0.000  \n",
       "  2016-10-26             0.000  \n",
       "  2016-10-27             0.000  \n",
       "  2016-10-28           100.503  \n",
       "  2016-10-31             0.000  \n",
       "  2016-11-01             0.000  \n",
       "  2016-11-02             0.000  \n",
       "  2016-11-03             0.000  \n",
       "  2016-11-04             0.000  \n",
       "  2016-11-07             0.000  \n",
       "  2016-11-08             0.000  \n",
       "  2016-11-09             0.000  \n",
       "  2016-11-10             0.000  \n",
       "  2016-11-11             0.000  \n",
       "  2016-11-14             0.000  \n",
       "  2016-11-15             0.000  \n",
       "  2016-11-16             0.000  \n",
       "  2016-11-17           152.208  \n",
       "  2016-11-18             0.000  \n",
       "  2016-11-21             0.000  \n",
       "  2016-11-22             0.000  \n",
       "  2016-11-23             0.000  \n",
       "  2016-11-24             0.000  \n",
       "  2016-11-25             0.000  \n",
       "  2016-11-28             0.000  \n",
       "  2016-11-29             0.000  \n",
       "  2016-11-30             0.000  \n",
       "  2016-12-01             0.000  \n",
       "  \n",
       "  [2894 rows x 5 columns],\n",
       "  'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2005-04-05       8.79        8.79       39555.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-06       8.79        8.99       40455.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-07       8.79        9.15       41175.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-08       8.79        9.25       41625.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-11       8.79        9.14       41130.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-12       8.79        9.01       40545.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-13       6.88        6.88       24768.0   000001.XSHE    3600.0   平安银行\n",
       "  2005-04-13       8.79        9.12       41040.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-14       6.88        6.60           0.0   000001.XSHE       0.0   平安银行\n",
       "  2005-04-14       8.79        8.96       40320.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-15       8.79        8.91       40095.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-18       8.79        8.92       40140.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-19       8.79        9.06       40770.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-20       8.79        8.94       40230.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-21       8.79        8.99       40455.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-22       8.79        9.12       41040.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-25       8.79        9.17       41265.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-26       8.79        9.05       40725.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-27       8.79        9.11       40995.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-28       8.79        9.21       41445.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-04-29       8.79        9.30       41850.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-05-09       8.79        9.15       41175.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-05-10       8.79        9.24       41580.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-05-11       8.79        9.11       40995.0   600036.XSHG    4500.0   招商银行\n",
       "  2005-05-12       8.79        8.60           0.0   600036.XSHG       0.0   招商银行\n",
       "  2005-06-10       6.58        6.58       24346.0   000001.XSHE    3700.0   平安银行\n",
       "  2005-06-13       6.58        6.50       24050.0   000001.XSHE    3700.0   平安银行\n",
       "  2005-06-13       2.67        2.67       34176.0   600050.XSHG   12800.0   中国联通\n",
       "  2005-06-14       6.58        6.39           0.0   000001.XSHE       0.0   平安银行\n",
       "  2005-06-14       2.67        2.62       33536.0   600050.XSHG   12800.0   中国联通\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2016-11-18       9.17        9.18      125766.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-18       4.73        5.93      214073.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-18      18.12       18.10      190050.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-11-21       9.17        9.24      126588.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-21       4.73        5.93      214073.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-21      18.12       18.34      192570.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-11-22       9.17        9.36      128232.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-22       4.73        5.98      215878.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-22      18.12       18.37      192885.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-11-23       9.17        9.45      129465.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-23       4.73        5.80      209380.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-23      18.12       18.84      197820.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-11-24       9.17        9.47      129739.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-24       4.73        5.82      210102.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-24      18.12       18.74      196770.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-11-25       9.17        9.62      131794.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-25       4.73        5.93      214073.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-25      18.12       18.99      199395.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-11-28       9.17        9.63      131931.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-28       4.73        6.05      218405.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-28      18.12       18.65      195825.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-11-29       9.17        9.62      131794.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-29       4.73        6.15      222015.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-29      18.12       18.75      196875.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-11-30       9.17        9.55      130835.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-11-30       4.73        6.66      240426.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-11-30      18.12       18.55      194775.0   600036.XSHG   10500.0   招商银行\n",
       "  2016-12-01       9.17        9.60      131520.0   000001.XSHE   13700.0   平安银行\n",
       "  2016-12-01       4.73        7.33      264613.0   600050.XSHG   36100.0   中国联通\n",
       "  2016-12-01      18.12       18.49      194145.0   600036.XSHG   10500.0   招商银行\n",
       "  \n",
       "  [3261 rows x 6 columns],\n",
       "  'summary': {'alpha': 0.083,\n",
       "   'annualized_returns': 0.161,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.114,\n",
       "   'benchmark_total_returns': 2.608,\n",
       "   'beta': 0.301,\n",
       "   'cash': 1316.541,\n",
       "   'downside_risk': 0.167,\n",
       "   'end_date': '2016-12-01',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': 0.06,\n",
       "   'max_drawdown': 0.287,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.655,\n",
       "   'sortino': 0.671,\n",
       "   'start_date': '2005-01-04',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 4.916,\n",
       "   'total_value': 591594.541,\n",
       "   'tracking_error': 0.249,\n",
       "   'unit_net_value': 5.916,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.171},\n",
       "  'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2005-04-05 15:00:00    31.64400  1496221648        8.79       4500.000   \n",
       "  2005-04-13 15:00:00    19.81440  1496221649        6.88       3600.000   \n",
       "  2005-04-14 15:00:00    19.00800  1496221650        6.60       3600.000   \n",
       "  2005-05-12 15:00:00    30.96000  1496221651        8.60       4500.000   \n",
       "  2005-06-10 15:00:00    19.47680  1496221652        6.58       3700.000   \n",
       "  2005-06-13 15:00:00    27.34080  1496221653        2.67      12800.000   \n",
       "  2005-06-14 15:00:00    18.91440  1496221654        6.39       3700.000   \n",
       "  2005-06-15 15:00:00    26.31680  1496221655        2.57      12800.000   \n",
       "  2005-06-17 15:00:00    30.61600  1496221656        8.90       4300.000   \n",
       "  2005-07-20 15:00:00    27.64800  1496221657        2.70      12800.000   \n",
       "  2005-08-02 15:00:00    18.30080  1496221658        6.02       3800.000   \n",
       "  2005-08-25 15:00:00    28.16000  1496221659        2.75      12800.000   \n",
       "  2005-08-29 15:00:00    18.48320  1496221660        6.08       3800.000   \n",
       "  2005-08-31 15:00:00    34.83000  1496221661        6.75       6450.000   \n",
       "  2005-09-02 15:00:00    20.03200  1496221662        6.26       4000.000   \n",
       "  2005-09-08 15:00:00    32.42640  1496221663        6.87       5900.000   \n",
       "  2005-09-21 15:00:00    19.29600  1496221664        6.03       4000.000   \n",
       "  2005-09-21 15:00:00    30.53840  1496221665        6.47       5900.000   \n",
       "  2005-11-04 15:00:00    27.45120  1496221666        2.58      13300.000   \n",
       "  2005-11-29 15:00:00    31.24800  1496221667        6.30       6200.000   \n",
       "  2005-12-02 15:00:00    20.05520  1496221668        5.83       4300.000   \n",
       "  2005-12-05 15:00:00    19.33280  1496221669        5.62       4300.000   \n",
       "  2006-02-06 15:00:00    30.00480  1496221670        2.82      13300.000   \n",
       "  2006-02-21 15:00:00    21.72800  1496221671        6.79       4000.000   \n",
       "  2006-03-02 15:00:00    20.99200  1496221672        6.56       4000.000   \n",
       "  2006-03-13 15:00:00    33.82417  1496221673        6.28       6732.518   \n",
       "  2006-03-15 15:00:00    28.70400  1496221674        2.76      13000.000   \n",
       "  2006-03-22 15:00:00    27.97600  1496221675        2.69      13000.000   \n",
       "  2006-04-04 15:00:00    32.61520  1496221676        6.91       5900.000   \n",
       "  2006-04-07 15:00:00    31.38800  1496221677        6.65       5900.000   \n",
       "  ...                         ...         ...         ...            ...   \n",
       "  2015-06-15 15:00:00    87.87840  1496221909       15.92       6900.000   \n",
       "  2015-07-16 15:00:00   143.74800  1496221910       18.15       9900.000   \n",
       "  2015-07-21 15:00:00   143.19360  1496221911       18.08       9900.000   \n",
       "  2015-07-22 15:00:00   144.22800  1496221912       17.85      10100.000   \n",
       "  2015-07-23 15:00:00   144.95520  1496221913       17.94      10100.000   \n",
       "  2015-09-17 15:00:00   143.28960  1496221914       17.56      10200.000   \n",
       "  2015-10-15 15:00:00   128.25600  1496221915        6.68      24000.000   \n",
       "  2015-10-19 15:00:00    89.17920  1496221916       11.26       9900.000   \n",
       "  2015-11-02 15:00:00   121.92000  1496221917        6.35      24000.000   \n",
       "  2015-11-24 15:00:00   145.90080  1496221918       17.88      10200.000   \n",
       "  2015-12-08 15:00:00    94.72320  1496221919       11.96       9900.000   \n",
       "  2015-12-25 15:00:00    90.34480  1496221920       12.41       9100.000   \n",
       "  2015-12-25 15:00:00   143.70720  1496221921       18.33       9800.000   \n",
       "  2015-12-28 15:00:00    87.21440  1496221922       11.98       9100.000   \n",
       "  2015-12-28 15:00:00   139.86560  1496221923       17.84       9800.000   \n",
       "  2016-03-08 15:00:00   141.72480  1496221924       15.96      11100.000   \n",
       "  2016-03-10 15:00:00    87.69600  1496221925       10.15      10800.000   \n",
       "  2016-03-10 15:00:00   122.88640  1496221926        4.22      36400.000   \n",
       "  2016-04-20 15:00:00   122.01280  1496221927        4.19      36400.000   \n",
       "  2016-04-28 15:00:00    92.10240  1496221928       10.66      10800.000   \n",
       "  2016-06-08 15:00:00    93.24000  1496221929       10.50      11100.000   \n",
       "  2016-06-20 15:00:00   155.48880  1496221930       17.51      11100.000   \n",
       "  2016-07-07 15:00:00   130.17760  1496221931        3.94      41300.000   \n",
       "  2016-07-13 15:00:00   148.67600  1496221932       17.05      10900.000   \n",
       "  2016-09-05 15:00:00   140.08960  1496221933        4.24      41300.000   \n",
       "  2016-09-14 15:00:00    96.54336  1496221934        9.06      13320.000   \n",
       "  2016-09-20 15:00:00   154.69280  1496221935       17.74      10900.000   \n",
       "  2016-10-12 15:00:00   136.60240  1496221936        4.73      36100.000   \n",
       "  2016-10-28 15:00:00   100.50320  1496221937        9.17      13700.000   \n",
       "  2016-11-17 15:00:00   152.20800  1496221938       18.12      10500.000   \n",
       "  \n",
       "                      order_book_id    order_id position_effect  side symbol  \\\n",
       "  datetime                                                                     \n",
       "  2005-04-05 15:00:00   600036.XSHG  1496221740            None   BUY   招商银行   \n",
       "  2005-04-13 15:00:00   000001.XSHE  1496221741            None   BUY   平安银行   \n",
       "  2005-04-14 15:00:00   000001.XSHE  1496221742            None  SELL   平安银行   \n",
       "  2005-05-12 15:00:00   600036.XSHG  1496221743            None  SELL   招商银行   \n",
       "  2005-06-10 15:00:00   000001.XSHE  1496221744            None   BUY   平安银行   \n",
       "  2005-06-13 15:00:00   600050.XSHG  1496221745            None   BUY   中国联通   \n",
       "  2005-06-14 15:00:00   000001.XSHE  1496221746            None  SELL   平安银行   \n",
       "  2005-06-15 15:00:00   600050.XSHG  1496221747            None  SELL   中国联通   \n",
       "  2005-06-17 15:00:00   600036.XSHG  1496221748            None   BUY   招商银行   \n",
       "  2005-07-20 15:00:00   600050.XSHG  1496221749            None   BUY   中国联通   \n",
       "  2005-08-02 15:00:00   000001.XSHE  1496221750            None   BUY   平安银行   \n",
       "  2005-08-25 15:00:00   600050.XSHG  1496221751            None  SELL   中国联通   \n",
       "  2005-08-29 15:00:00   000001.XSHE  1496221752            None  SELL   平安银行   \n",
       "  2005-08-31 15:00:00   600036.XSHG  1496221753            None  SELL   招商银行   \n",
       "  2005-09-02 15:00:00   000001.XSHE  1496221754            None   BUY   平安银行   \n",
       "  2005-09-08 15:00:00   600036.XSHG  1496221755            None   BUY   招商银行   \n",
       "  2005-09-21 15:00:00   000001.XSHE  1496221756            None  SELL   平安银行   \n",
       "  2005-09-21 15:00:00   600036.XSHG  1496221757            None  SELL   招商银行   \n",
       "  2005-11-04 15:00:00   600050.XSHG  1496221758            None   BUY   中国联通   \n",
       "  2005-11-29 15:00:00   600036.XSHG  1496221759            None   BUY   招商银行   \n",
       "  2005-12-02 15:00:00   000001.XSHE  1496221760            None   BUY   平安银行   \n",
       "  2005-12-05 15:00:00   000001.XSHE  1496221761            None  SELL   平安银行   \n",
       "  2006-02-06 15:00:00   600050.XSHG  1496221762            None  SELL   中国联通   \n",
       "  2006-02-21 15:00:00   000001.XSHE  1496221763            None   BUY   平安银行   \n",
       "  2006-03-02 15:00:00   000001.XSHE  1496221764            None  SELL   平安银行   \n",
       "  2006-03-13 15:00:00   600036.XSHG  1496221765            None  SELL   招商银行   \n",
       "  2006-03-15 15:00:00   600050.XSHG  1496221766            None   BUY   中国联通   \n",
       "  2006-03-22 15:00:00   600050.XSHG  1496221767            None  SELL   中国联通   \n",
       "  2006-04-04 15:00:00   600036.XSHG  1496221768            None   BUY   招商银行   \n",
       "  2006-04-07 15:00:00   600036.XSHG  1496221769            None  SELL   招商银行   \n",
       "  ...                           ...         ...             ...   ...    ...   \n",
       "  2015-06-15 15:00:00   000001.XSHE  1496222004            None  SELL   平安银行   \n",
       "  2015-07-16 15:00:00   600036.XSHG  1496222005            None   BUY   招商银行   \n",
       "  2015-07-21 15:00:00   600036.XSHG  1496222006            None  SELL   招商银行   \n",
       "  2015-07-22 15:00:00   600036.XSHG  1496222007            None   BUY   招商银行   \n",
       "  2015-07-23 15:00:00   600036.XSHG  1496222008            None  SELL   招商银行   \n",
       "  2015-09-17 15:00:00   600036.XSHG  1496222010            None   BUY   招商银行   \n",
       "  2015-10-15 15:00:00   600050.XSHG  1496222011            None   BUY   中国联通   \n",
       "  2015-10-19 15:00:00   000001.XSHE  1496222012            None   BUY   平安银行   \n",
       "  2015-11-02 15:00:00   600050.XSHG  1496222013            None  SELL   中国联通   \n",
       "  2015-11-24 15:00:00   600036.XSHG  1496222014            None  SELL   招商银行   \n",
       "  2015-12-08 15:00:00   000001.XSHE  1496222015            None  SELL   平安银行   \n",
       "  2015-12-25 15:00:00   000001.XSHE  1496222016            None   BUY   平安银行   \n",
       "  2015-12-25 15:00:00   600036.XSHG  1496222017            None   BUY   招商银行   \n",
       "  2015-12-28 15:00:00   000001.XSHE  1496222018            None  SELL   平安银行   \n",
       "  2015-12-28 15:00:00   600036.XSHG  1496222019            None  SELL   招商银行   \n",
       "  2016-03-08 15:00:00   600036.XSHG  1496222020            None   BUY   招商银行   \n",
       "  2016-03-10 15:00:00   000001.XSHE  1496222021            None   BUY   平安银行   \n",
       "  2016-03-10 15:00:00   600050.XSHG  1496222022            None   BUY   中国联通   \n",
       "  2016-04-20 15:00:00   600050.XSHG  1496222023            None  SELL   中国联通   \n",
       "  2016-04-28 15:00:00   000001.XSHE  1496222024            None  SELL   平安银行   \n",
       "  2016-06-08 15:00:00   000001.XSHE  1496222025            None   BUY   平安银行   \n",
       "  2016-06-20 15:00:00   600036.XSHG  1496222026            None  SELL   招商银行   \n",
       "  2016-07-07 15:00:00   600050.XSHG  1496222027            None   BUY   中国联通   \n",
       "  2016-07-13 15:00:00   600036.XSHG  1496222028            None   BUY   招商银行   \n",
       "  2016-09-05 15:00:00   600050.XSHG  1496222029            None  SELL   中国联通   \n",
       "  2016-09-14 15:00:00   000001.XSHE  1496222030            None  SELL   平安银行   \n",
       "  2016-09-20 15:00:00   600036.XSHG  1496222031            None  SELL   招商银行   \n",
       "  2016-10-12 15:00:00   600050.XSHG  1496222032            None   BUY   中国联通   \n",
       "  2016-10-28 15:00:00   000001.XSHE  1496222033            None   BUY   平安银行   \n",
       "  2016-11-17 15:00:00   600036.XSHG  1496222034            None   BUY   招商银行   \n",
       "  \n",
       "                              tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                                \n",
       "  2005-04-05 15:00:00    0.000000  2005-04-05 15:00:00         31.644000  \n",
       "  2005-04-13 15:00:00    0.000000  2005-04-13 15:00:00         19.814400  \n",
       "  2005-04-14 15:00:00   23.760000  2005-04-14 15:00:00         42.768000  \n",
       "  2005-05-12 15:00:00   38.700000  2005-05-12 15:00:00         69.660000  \n",
       "  2005-06-10 15:00:00    0.000000  2005-06-10 15:00:00         19.476800  \n",
       "  2005-06-13 15:00:00    0.000000  2005-06-13 15:00:00         27.340800  \n",
       "  2005-06-14 15:00:00   23.643000  2005-06-14 15:00:00         42.557400  \n",
       "  2005-06-15 15:00:00   32.896000  2005-06-15 15:00:00         59.212800  \n",
       "  2005-06-17 15:00:00    0.000000  2005-06-17 15:00:00         30.616000  \n",
       "  2005-07-20 15:00:00    0.000000  2005-07-20 15:00:00         27.648000  \n",
       "  2005-08-02 15:00:00    0.000000  2005-08-02 15:00:00         18.300800  \n",
       "  2005-08-25 15:00:00   35.200000  2005-08-25 15:00:00         63.360000  \n",
       "  2005-08-29 15:00:00   23.104000  2005-08-29 15:00:00         41.587200  \n",
       "  2005-08-31 15:00:00   43.537500  2005-08-31 15:00:00         78.367500  \n",
       "  2005-09-02 15:00:00    0.000000  2005-09-02 15:00:00         20.032000  \n",
       "  2005-09-08 15:00:00    0.000000  2005-09-08 15:00:00         32.426400  \n",
       "  2005-09-21 15:00:00   24.120000  2005-09-21 15:00:00         43.416000  \n",
       "  2005-09-21 15:00:00   38.173000  2005-09-21 15:00:00         68.711400  \n",
       "  2005-11-04 15:00:00    0.000000  2005-11-04 15:00:00         27.451200  \n",
       "  2005-11-29 15:00:00    0.000000  2005-11-29 15:00:00         31.248000  \n",
       "  2005-12-02 15:00:00    0.000000  2005-12-02 15:00:00         20.055200  \n",
       "  2005-12-05 15:00:00   24.166000  2005-12-05 15:00:00         43.498800  \n",
       "  2006-02-06 15:00:00   37.506000  2006-02-06 15:00:00         67.510800  \n",
       "  2006-02-21 15:00:00    0.000000  2006-02-21 15:00:00         21.728000  \n",
       "  2006-03-02 15:00:00   26.240000  2006-03-02 15:00:00         47.232000  \n",
       "  2006-03-13 15:00:00   42.280213  2006-03-13 15:00:00         76.104383  \n",
       "  2006-03-15 15:00:00    0.000000  2006-03-15 15:00:00         28.704000  \n",
       "  2006-03-22 15:00:00   34.970000  2006-03-22 15:00:00         62.946000  \n",
       "  2006-04-04 15:00:00    0.000000  2006-04-04 15:00:00         32.615200  \n",
       "  2006-04-07 15:00:00   39.235000  2006-04-07 15:00:00         70.623000  \n",
       "  ...                         ...                  ...               ...  \n",
       "  2015-06-15 15:00:00  109.848000  2015-06-15 15:00:00        197.726400  \n",
       "  2015-07-16 15:00:00    0.000000  2015-07-16 15:00:00        143.748000  \n",
       "  2015-07-21 15:00:00  178.992000  2015-07-21 15:00:00        322.185600  \n",
       "  2015-07-22 15:00:00    0.000000  2015-07-22 15:00:00        144.228000  \n",
       "  2015-07-23 15:00:00  181.194000  2015-07-23 15:00:00        326.149200  \n",
       "  2015-09-17 15:00:00    0.000000  2015-09-17 15:00:00        143.289600  \n",
       "  2015-10-15 15:00:00    0.000000  2015-10-15 15:00:00        128.256000  \n",
       "  2015-10-19 15:00:00    0.000000  2015-10-19 15:00:00         89.179200  \n",
       "  2015-11-02 15:00:00  152.400000  2015-11-02 15:00:00        274.320000  \n",
       "  2015-11-24 15:00:00  182.376000  2015-11-24 15:00:00        328.276800  \n",
       "  2015-12-08 15:00:00  118.404000  2015-12-08 15:00:00        213.127200  \n",
       "  2015-12-25 15:00:00    0.000000  2015-12-25 15:00:00         90.344800  \n",
       "  2015-12-25 15:00:00    0.000000  2015-12-25 15:00:00        143.707200  \n",
       "  2015-12-28 15:00:00  109.018000  2015-12-28 15:00:00        196.232400  \n",
       "  2015-12-28 15:00:00  174.832000  2015-12-28 15:00:00        314.697600  \n",
       "  2016-03-08 15:00:00    0.000000  2016-03-08 15:00:00        141.724800  \n",
       "  2016-03-10 15:00:00    0.000000  2016-03-10 15:00:00         87.696000  \n",
       "  2016-03-10 15:00:00    0.000000  2016-03-10 15:00:00        122.886400  \n",
       "  2016-04-20 15:00:00  152.516000  2016-04-20 15:00:00        274.528800  \n",
       "  2016-04-28 15:00:00  115.128000  2016-04-28 15:00:00        207.230400  \n",
       "  2016-06-08 15:00:00    0.000000  2016-06-08 15:00:00         93.240000  \n",
       "  2016-06-20 15:00:00  194.361000  2016-06-20 15:00:00        349.849800  \n",
       "  2016-07-07 15:00:00    0.000000  2016-07-07 15:00:00        130.177600  \n",
       "  2016-07-13 15:00:00    0.000000  2016-07-13 15:00:00        148.676000  \n",
       "  2016-09-05 15:00:00  175.112000  2016-09-05 15:00:00        315.201600  \n",
       "  2016-09-14 15:00:00  120.679200  2016-09-14 15:00:00        217.222560  \n",
       "  2016-09-20 15:00:00  193.366000  2016-09-20 15:00:00        348.058800  \n",
       "  2016-10-12 15:00:00    0.000000  2016-10-12 15:00:00        136.602400  \n",
       "  2016-10-28 15:00:00    0.000000  2016-10-28 15:00:00        100.503200  \n",
       "  2016-11-17 15:00:00    0.000000  2016-11-17 15:00:00        152.208000  \n",
       "  \n",
       "  [291 rows x 12 columns]}}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.s2 = \"600036.XSHG\"\n",
    "    context.s3 = \"600050.XSHG\"\n",
    "    context.stocks = {context.s1: 0.25,\n",
    "                      context.s2: 0.4,\n",
    "                      context.s3: 0.35}\n",
    "    context.SHORTPERIOD = 10\n",
    "    context.LONGPERIOD = 30\n",
    "    context.stoplossmultipler= 0.98 #止损 乘数 \n",
    "    context.takepofitmultipler= 3 #止盈 乘数\n",
    "\n",
    "def stop_loss(context,bar_dict):\n",
    "    for stock in context.portfolio.positions:\n",
    "        if bar_dict[stock].last<context.portfolio.positions[stock].avg_price*context.stoplossmultipler:# 现价低于 原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "        elif bar_dict[stock].last>context.portfolio.positions[stock].avg_price*context.takepofitmultipler:# 现价高于原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    stop_loss(context,bar_dict)\n",
    "    for stocks, target in context.stocks.items():\n",
    "        prices = history_bars(stocks, context.LONGPERIOD+1, '1d', 'close')\n",
    "        short_avg = talib.SMA(prices, context.SHORTPERIOD)\n",
    "        long_avg = talib.SMA(prices, context.LONGPERIOD)\n",
    "\n",
    "        cur_position = context.portfolio.positions[stocks].quantity\n",
    "        if short_avg[-1] - long_avg[-1] < 0 and short_avg[-2] - long_avg[-2] > 0 and cur_position > 0:\n",
    "            order_target_value(stocks, 0)\n",
    "\n",
    "        if short_avg[-1] - long_avg[-1] > 0 and short_avg[-2] - long_avg[-2] < 0:\n",
    "            order_target_percent(stocks, target)\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  }
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